Enrique Herrera-Viedma Vice-President for Research and Knowledge Transfer
On the behalf of the University of Granada, it is my great pleasure to welcome you to Granada, Spain, for the 7th International Conference on Information Technology and Quantitative Management (ITQM 2019). In Granada we are organizing important international conferences each year, and I would like to thank the International Academy of Information Technology and Quantitative Management, and on behalf of it, its president Prof. Yong Shi, the idea of having thought of our University to organize this conference this year. This will give us the opportunity to know better both the potential of our university, the second university in scientific quality and the leader university in Artificial Intelligence in Spain, and our beautiful city of Granada.
I am sure that this conference will be a forum for debate that will allow us to find new ways in which Artificial Intelligence techniques contribute to improving information technologies and quantitative management.
I want to thank the local staff, different committees, all participants, session chairs, keynote and plenary speakers and all volunteers for helping us to build this very exciting conference program.
I wish event a great success.
With best wishes,
Enrique Herrera-Viedma Page 2 / 32
Welcome Message from the Conference Organizers
Welcome to the Seventh International Conference on Information Technology and Quantitative Management (ITQM 2019), November 3-6, 2019, Granada, Spain. The theme of ITQM 2019 is "Information Technology and Quantitative Management based on Artificial Intelligence". ITQM 2019 is organized by International Academy of Information Technology and Quantitative Management (IAITQM), Chinese Academy of Sciences and University of Granada. IAITQM was formally inaugurated on June 3, 2012 with more than 50 founding members from China, United States, Australia, Japan, Lithuania, Poland, Romania, Spain, Singapore, South Korea, The Netherlands, Turkey and other countries. The International Conference on Information Technology and Quantitative Management (ITQM), established by IAITQM, is a global forum for exchanging research findings and case studies that bridge the latest information technology and quantitative management techniques. It explores how the use of information technology to improve quantitative management techniques and how the development of management tools can reshape the development of information technology. The First International Conference on Information Technology and Quantitative Management (ITQM 2013) took place in Suzhou, China. The Second International Conference on Information Technology and Quantitative Management (ITQM 2014) was held in Moscow, Russia. The Third International Academy of Information Technology and Quantitative Management (ITQM 2015) was held at Rio de Janeiro, Brazil. The Forth International Academy of Information Technology and Quantitative Management (ITQM 2016) was held at Asan, Korea. The Fifth International Academy of Information Technology and Quantitative Management (ITQM 2017) was held at New Delhi, India. The Sixth International Academy of Information Technology and Quantitative Management (ITQM 2018) was held at Omaha, USA.
ITQM 2019 covers all topics in the broad ranges of Information Technology and quantitative management, including, but not limited to: Advances in B2B, B2C and C2C Environments Advances in Quality Management Agricultural Markets and International Trade Human Resource Management Artifical Intelligence Investment management Asset Pricing Banking regulation and financial services Brands and Consumer Behavior Business Analytics Tools Commodity and Product Pricing Contemporary Leadership issues Corporate finance and capital structure Data Mining and Data Warehousing Data Science Digital Learning and Organization Digital Marketing Employability Skills and Talent Management Financial Econometrics Financial literacy and financial education Global Recession IOT (Internet of Things) IT-enabled quantitative management Web intelligence Management of Technology Managing Global Value Chains
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Market Volatility and Financial Innovation Mobile technologies and cloud computing Multicriteria Analysis related to IT-enabled quantitative management Neuro Marketing Quantitative management tools Semantic learning and intelligent awareness Service Operations Management Social Media Social Media and Mobile Marketing Soft computing methods Sustainability Issues in Trade Sustainable Supply Chain Management Technology for Training and Development Technology in Banking and Insurance Big data and Deep learning Big data in finance
Technical exchanges within the research community will encompass the invited keynote lectures, special sessions, and workshops. At ITQM 2019, we have invited the following 4 world leading keynote speakers to give their current and future visions about Information Technology and Quantitative Management: Shu-Cherng Fang, Walter Clark Chair and Distinguished University Alumni Graduate Professor, North Carolina State University, USA on “Optimization Models for Sparse Signal Recovery”; Irene Ng, Turing Fellow, Director, HATLAB@WMG, University of Warwick, Chief Executive Dataswift Ltd on “Crafting Data Rights and Emerging a Market for Personal Data at the Edge: The Hub-of-All-Things (HAT)”; Heeseok Lee, Chair Professor of Strategy and IT, Korea Advanced Institute of Science and Technology, Korea on “Artificial Intelligence – Emerging Opportunities for Business and Academia”; Enrique Herrera-Viedma, Professor in Computer Science and A.I., University of Granada, Spain on “Bibliometric Tools for Discovering Information in Science”;
There were more 395 scholars and students from 19 countries and regions submitted their papers to ITQM 2019. The authors are from Australia, Belgium, Canada, Chile, China, Cuba, Germany, India, Mexico, Romania, Russia, South Korea, Spain, Poland, Portugal, Serbia, Ukraine, United Kingdom and United States. After the peer-review process, we have accepted 121 high-quality papers from all submitted papers for presentation at the conference. These papers are published by Elsevier in their Procedia Computer Science series. They are allocated into 1 General Session, 12 special sessions and 7 workshops. Like the previous conferences, ITQM 2019 relies strongly on the vital contributions of our workshop organizers to attract high quality papers in many subject areas. We would like to thank all special session/workshop organizers, ITQM committee members, and reviewers for their contribution to ensure a high standard for the accepted papers. We would like to express our gratitude to the conference committees for their enthusiastic work towards the success of ITQM 2019. We owe special thanks to our sponsors: University of Granada, LifeWatch-ERIC, University of Nebraska at Omaha, USA; Research Center on Fictitious Economy and Data Science and Key Lab of Big Data Mining and Knowledge Management, Chinese Academy of Sciences; School of Economics and Management, University Chinese Academy of Sciences; Institutes of Science and Development, Chinese Academy of Sciences; Southwest Minzu University, China; Business Intelligence Society, Chinese Academy of Management, China and Tainfu International Institute of Big Data Strategy and Technology, Chengdu, China for their generous support.
We wish you a successful and enjoyable conference at Granada!
November 3-6, Granada, Spain
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The ITQM 2019 Program/Conference Chairs: 1. Conference Organizing Committees：
General Chairs: Enrique Herrera-Viedma and Yong Shi Honorary Chair: Daniel Berg, James Tien, David Scott and Hesham Ali Program Chair: Gang Kou and Francisco Javier Cabrerizo Organizing Chair: Sergio Alonso, Raquel Ureña, Carlos Porcel, Juan Antonio Morente, Yingjie Tian, Julia Cabello and M.J. del Moral Tutorial Chair: Francisco Chiclana, Francisco Mata and Jing He Special Sessions and Workshops Chair: Felisa Cordova and Ignacio Javier Pérez Publications and Proceedings Chair: Ioan Dzitac, Luiz F. Autran M. Gomes and Jongwon Lee Awards Chair: Heeseok Lee, Florin G. Filip and Yong Shi Financial Chair: Wikil Kwak and Jianping Li Publicity Chairs: Manuel Jesus Cobo, Juan Miguel Tapia and Taeho Park
2. Conference Organizers:
International Academy of Information Technology and Quantitative Management (IAITQM) University of Granada Chinese Academy of Sciences University of Nebraska at Omaha
3. Local Committee:
Yuanchun Zheng (Chair) M.Angeles Martínez Jesús Cascón Pedro Lázaro Javier Lopez-Gijón Pei Quan Biao Li Yi Qu Xinyue Ren Yunlong Mi Jie Yang Jiayu Xue Bo Li Lei Zheng Yang Xiao Linzi Zhang Wei Dai Mengyu Shang Yuan An
Program Committee:
Jae-Hyeon Ahn, KAIST Business School, Seoul, Korea Jin-Ho Ahn, School of Electronic Display, Hoseo University，Korea Vandana Ahuja, JBS, India Page 5 / 32
Fuad Aleskerov, Russian Academy of Sciences, Russia Vassil Alexandrov, Barcelona Supercomputing Center, Spain Hesham Ali, University of Nebraska at Omaha, USA A.D. Amar, Seaton Hall University, USA Alexander Belenky, HSE/Moscow, MIT/Cambridge，Russia Daniel Berg, Rensselaer Polytechnic Institute, USA Marian Bubak, AGH University of Science and Technology, Poland Sergiy Butenko, Texas A&M University, USA Francisco Javier Cabrerizo, UNED, Spain Seong Wook Chae, Department of Business Administration at Hoseo University，Korea Yuanping Chen, Computer Network Information Center, Chinese Academy of Sciences, China Zhangxin Chen, University of Nebraska at Omaha, USA Siwei Cheng, Chinese Academy of Sciences, China Guotai Chi, School of Business Management, Dalian University of Technology, China Francisco Chiclana, De Montfort University, United Kingdom Vyacheslav V. Chistyakov, NRU HSE, Nijniy Novgorod, Russia Byounggu Choi, College of Business Administration, Kookmin University，Korea Raul Colcher, ASSESPRO, Brazil Pablo Cordero, University of Malaga, Spain Felisa M. Córdova, University of Santiago de Chile, Santiago, Chile Helder G. Costa, UFF, Brazil Frederica Darema, Air Force Office of Scientific Research, USA Satyabhushan Dash, IIM, Lucknow, India Pinaki Dasgupta, IMI, Delhi Debdeep De, JBS, India Kalyanmoy Deb, India Institute of Technology, India Hernán Díaz, University of Santiago de Chile, Santiago, Chile Yucheng Dong, De Montfort University, U.K Jack Dongarra , University of Tennessee, Knoxville, USA Francisco A. Doria, UFRJ, Brazil Ioan Dzitac, Agora University, Romania Xiaodan Fan, Department of Statistics, Chinese University of Hong Kong, China Shu Cherng Fang, North Carolina State University, USA Cordova Felisa, University of Santiago of Chile USACH, Chile Florin Gheorghe Filip, Romanian Academy, Romania Maria do Carmo Duarte Freites, Federal University of Parana, Curitiba, Brazil Hamido Fujita, Iwate Prefectural University, Japan Fred Glover, OptTek Systems, Inc., USA Michel Grabisch, Paris I, France Carlos F.S. Gomes, UFF, Brazil Luiz F. Autran M. Gomes, IBMEC, Brazil Jifa Gu, Chinese Academy of Sciences, China Kun Guo, Chinese Academy of Sciences, China M. P. Gupta, IIT, Delhi Pankaj Gupta, University of Delhi, India Sang-Tae Han, Department of Applied Statistics, Hoseo University, Korea Jing He, Victoria University, Australia Wenxue Huang, Guangzhou University, China Zhimin Huang, Adelphi University, USA Vigneswara Ilawarasan, IIT Delhi, India Hiroshi Inoue, Science University of Tokyo, Japan Wenbin Jiao, Computer Network Information Center, Chinese Academy of Sciences, China Hyuncheol Kang, Department of Applied Statistics, Hoseo University, Korea
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Young Sik Kang, School of Business Administration at Myongji University，Korea Sujata Kapoor, JBS, India Alexander Karminsky, Higher School of Economics, Department of Finance，Russia Saroj Kaul, Jindal Global Business School, India Deepak Khazanchi, University of Nebraska at Omaha, USA Hyeuk Kim, Department of Applied Statistics, Hoseo University, Korea Hyungjoon Kim, College of Economics & Business Administration at Hanbat National University，Korea Seongyong Kim, Department of Applied Statistics, Hoseo University, Korea Gang Kou, Southwest University of Finance and Economics, China Murat M. Koksalan, Middle East Technical University, Turkey Jeong-Ho Kwak, School of Business at Hoseo University，Korea Wikil Kwak, University of Nebraska at Omaha, USA Uma Kumar, Sprott School of Business, USA Moussa Larbani, Islamic International University, Malaysia Cheng-Few Lee, Rutgers University, USA Choongseok Lee, Korea Polytech University,Korea Heeseok Lee, Korea Advanced Institute of Science and Technology, Korea Hyoung-Yong Lee, School of Business, Hansung University, Korea Jongwon Lee, Hoseo University, Korea Stanley Lee, Kansas State University, USA Michael Harold Lees, Nanyang Technological University, Singapore Alexander E. Lepskiy, HSE, Moscow, Russia Aihua Li, Central University of Finance & Economics, China Duan Li, Chinese University of Hong Kong, Hong Kong, China Jianping Li, Chinese Academy of Sciences, China Shanling Li, McGill University, Canada Weigang Li, University of Brasilia, Brazil Xingsen Li, Research Institute of Extenics and Innovation Methods, Guangdong University of Technology, China Xiaodong Lin, Rutgers University, USA Hai Liu, School of Computer, South China Normal University, China Jiming Liu, Hong Kong Baptist University, Hong Kong, China Rong Liu, University of California at Los Angeles, USA Xiaohui Liu, Brunel University, United Kingdom Yanbin Liu, NIT, Zhejiang University, China Ying Liu, Chinese Academy of Sciences, China Zhidong Liu, China Aleksey Lobanov, Bank of Russia, Russia Wen Long, Chinese Academy of Sciences, China Enrique López, University of Concepción, Concepción, Chile David H. Lorenz, Northeastern University, USA Robert M. Losee, University of North Carolina at Chapel Hill, USA Alexander V. Lotov, Russian Academy of Sciences, Russia Ping Ma, University of Georgia, USA Maria Augusta Soares Machado, Ibmec-RJ and Fuzzy Consultoria Ltda, Brazil Ivan Coste Maniere, Skema Business School Bo Mao, Nanjing University of Finance and Economics, China Joao C.S. de Mello, UFF, Brazil Andreas Merikas, National Research University Higher School of Economics, Russia Jinyoung Min, Chosun University, Korea Cid Miranda, SUCESU, Brazil Rajnish Kumar Misra, JBS, India Mamta Mohapatra, IMI, Delhi Vadim V. Mottl, Tula State University, Russia Page 7 / 32
Valter Moreno, Ibmec & UERJ, Brazil Lingfeng Niu, Chinese Academy of Sciences, China David L. Olson, University of Nebraska at Lincoln, USA Neerja Pande, IIM, Lucknow, India Chaoyi Pang, NIT, Zhejiang University, China Panos M. Pardalos, University of Florida, USA Geun-Duk Park, School of Computer and Information Engineering, Hoseo University，Korea Ji Min Park, American Law Department at Hallym University of Graduate Studies,Korea Tae-Young Park, School of Business at Hanyang University，Korea Yi Peng, University of Electronic Science and Technology of China, China Henry I. Penikas, HSE, Moscow, Russia Ignacio Javier Pérez, University of Cadiz, Spain David Poole, University of British Columbia, Canada Luis Omar Herrera Prada, Universidad de la Salle, Colombia Zhiquan Qi, Chinese Academy of Sciences, China Heitor Quintella, Stratimidia, Brazil Cliff T. Ragsdale, Virginia Polytechnic Institute and State University, USA Balasubramaniam Ramesh, Georgia State University, USA Fuji Ren, The University of Tokushima, Japan Francisco Ruiz, Universidad de Malaga, Spain Thomas Saaty, University of Pittsburgh, USA M.A. Sanjeev, Narsee Monji Institute of Management Studies, India Isaac D. Scherson, University of California at Irvine, USA Moonis Shakeel, JBS, India Rahul Sharma, JBS, India Prakash P. Shenoy, University of Kansas, USA Yong Shi, Chinese Academy of Sciences Research Center on Fictitious Economy and Data Science, China Fabio R. E. Silva, Ibmec, Brazil Dominik Slezak, Warsaw University, Poland P.M.A. Sloot, Universiteit van Amsterdam, The Netherlands Roman Slowinski, Poznan University of Technology, Poland Paulo de Souza, CSIRO, Australia Neena Sondhi, IMI, Delhi Bogdana Stanojevic, the Serbian Academy of Sciences and Arts, Serbia Christian Stummer, Bielefeld University, Germany Minghe Sun, University of Texas at San Antonio, USA Ling Tang, School of Economics and Management, Beijing University of Chemical Technology, China Tetsuzo Tanino, Osaka University, Japan Xin Tian, Chinese Academy of Sciences, China Yingjie Tian, Chinese Academy of Sciences, China James Tien, University of Miami, USA Ana Titos, University of Granada, Spain Zenonas Turskis, Vilnius Gediminas Technical University, Lithuania Gwo-Hshiung Tzeng, National Chiao Tung University, Taiwan Nitin Upadhayay, Goa Institute of Management, India Luis G. Vargas, University of Pittsburgh, USA Alexander Vasin, MSU/Moscow，Russia Rayford Vaughn, Mississippi State University, USA Enrique Herrera-Viedma, University of Granada, Spain Ashok Wahi, JBS, India Jyrki Wallenius, Aalto University School of Economics, Finland Hsiao-Fan Wang, National Tsing Hua University, Taiwan James Wang, Pennsylvania State University, USA
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Shouyang Wang, Chinese Academy of Sciences, China Yonghui Wang, Director-General of China QClub, China Xianhua Wei, Chinese Academy of Sciences, China Peter Wolcott, University of Nebraska at Omaha, USA Dengsheng Wu, Institute of Policy and Management, Chinese Academy of Sciences, China Weixing Wu, School of Banking and Finance, University of International Business and Economics，China Weixuan Xu, Chinese Academy of Sciences, China Zeshui Xu, Sichuan University, Chengdu, China Franco F. Yanine, Technical University Santa María, Valparaíso, Chile Chunyan Yang, Guangdong University of Technology, China Kyupil Yeon, Department of Applied Statistics, Hoseo University, Korea Lean Yu, Beijing University of Chemical Technology, China Ming Miin Yu, National Taiwan Ocean University, Taiwan Philip S. Yu, University of Illinois at Chicago, USA Po-lung Yu, University of Kansas, USA Xiaogang Wang, York University, Canada Edmundas Kazimieras Zavadskas, Vilnius Gediminas Technical University, Lithuania Milan Zeleny, Fordham University, USA Chengqi Zhang, University of Technology Sydney, Australia Haolan Zhang, NIT, Zhejiang University, China Lingling Zhang, Chinese Academy of Sciences, China Peng Zhang, University of Technology Sydney, Australia Wei Zhang, Tianjin University, China Yanchun Zhang, Victoria University, Australia Yuejin Zhang, Central University of Finance and Economics, China Ning Zhong, Maebashi Institute of Technology, Japan Xiaofei Zhou, Chinese Academy of Sciences, China Zongfang Zhou, University of Electronic Science and Technology of China Xingquan Zhu, Florida Atlantic University, USA Yangyong Zhu, Fudan University, China Kirill Zinkovskiy, National Research University Higher School of Economics, Russia
Special Sessions/Workshops and Organizers
General Session Fuad Aleskerov, National Research University Higher School of Economics, Russia ([email protected]) Guzel Almukhametova, National Research University Higher School of Economics, Russia ([email protected])
Special Session 01: Computer Supported Collaborative Decision-Making: Methods, Tools, Systems, and Applications Prof. F. G. Filip (Romanian Academy, Bucharest, Romania [email protected]) Prof. I. Dzitac (Agora University, Oradea and University “Aurel Vlaicu” Arad, Romania [email protected]) Prof. Cristian Ciurea (Academy of Economic Studies-ASE, Bucharest Romania [email protected])
Special Session 02: Soft computing for decision making Prof. hab. Ioan Dzitac (Aurel Vlaicu University of Arad & Agora University of Oradea, Romania, [email protected]) Acad. Florin Gheorghe Filip (Chair of the "Information Science and Technology" Section, of The Romanian Academy, Romania [email protected]) Dr. Misu-Jan Manolescu (Professor at Agora University of Oradea, Romania [email protected]) Dr. Simona Dzitac (Assoc. Professor at University of Oradea, Romania [email protected])
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Special Session 03: High Performance Data Analysis Vassil Alexandrov (Professor in Computational Science and Chief Science Officer at Hartre Centre, UK, [email protected]) Ying Liu (Professor, University of Chinese Academy of Sciences, China, [email protected])
Special Session 04: District financial risk management and artificial intelligence Prof. Gang Kou (School of Business Administration, Southwestern University of Finance and Economics, Chengdu, China, [email protected]) Prof. Fan Wang (Business School, Sun Yat-sen University, Guangzhou, China, [email protected]) Prof. Daji Ergu (College of Electrical & Information Engineering, Chengdu, Southwest Minzu University, China, [email protected])
Special Session 05: Enabling Cyber-Physical Society through Cloud, Big Data, Analytics and Internet of Things Dr. Nitin Upadhyay (Goa Institute of Management, India, [email protected]; [email protected])
Special Session 06: 7th Intelligent Decision Making and Extenics based Innovation Xingsen Li (Guangdong University of Technology, China, [email protected]) Chunyan Yang (Guangdong University of Technology, China, [email protected]) Yanwei Zhao (Zhejiang University of Technology, China, [email protected]) Ping Yuan (NIT, Zhejiang University, China, [email protected])
Special Session 07: Advanced methods for research evaluation Manuel J. Cobo (Department of Computer Science and Engineering, University of Cádiz, Spain, [email protected]) José Antonio Moral Muñoz (Department of Nursing and Physiotherapy. University of Cádiz, [email protected])
Special Session 08: Advances in Energy Sustainability through Distributed Generation and Energy Storage Innovations for the Smart Grid Transformation-2019 Prof. Dr. Fernando Yanine (Senior Researcher & Professor, Faculty of Engineering of Universidad Finis Terrae Av. Pedro de Valdivia 1509, Providencia Santiago, Chile. [email protected])
Special Session 09: Fuzziness in Smart Cities Edy Portmann (University of Fribourg, Switzerland,) Miroslav Hudec (University of Economics in Bratislava, Slovak Republic,) Special Session 10: Soft Computing on the Web Jesús Serrano-Guerrero ([email protected]) Antonio Gabriel López Herrera ([email protected]) Francisco P. Romero ([email protected]) José Angel Olivas ([email protected])
Special Session 11: A.I. applications in quantitative management and decision making systems Sungbum Park (Graduate School of MoT, Hoseo University, South Korea, [email protected]) Heewon Cheong (Graduate School of MoT, Hoseo University, South Korea, [email protected]) Jongwon Lee (Graduate School of MoT, Hoseo University, South Korea, [email protected])
Special Session 12: Data Acquisition Architecture and Management for Traceability Analytics (DAAMTA) – Smart City focus this year. Dr. Jing He (Swinburne University of Technology, Australia, [email protected]) A/P. Zhiwang Zhang (School of Information and Electrical Engineering, Ludong University, [email protected]) Dr Bo Mao (Nanjing University of Finance and Economics, [email protected]) A/P. Hai Liu (School of Computer, South China Normal University [email protected]) Dr. Guangyan Huang (Deakin University [email protected])
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Workshop 01: The 7th Workshop on Optimization-based Data Mining Yingjie Tian, Chinese Academy of Sciences Research Center on Fictitious Economy and Data Science, China. ([email protected]) Zhiquan Qi, Chinese Academy of Sciences Research Center on Fictitious Economy and Data Science, China. ([email protected]) Yong Shi, College of Information Science and Technology, University of Nebraska at Omaha, USA. ([email protected])
Workshop 02: The 11th Workshop on Risk Correlation Analysis and Risk Measurement (RCARM2019) Jianping Li, Institutes of Science and Development, Chinese Academy of Sciences, China. ([email protected]) Xiaolei Sun, Institutes of Science and Development, Chinese Academy of Sciences, China. ([email protected]) Rongda Chen, Zhejiang University of Finance & Economics ,China. ([email protected])
Workshop 03: The 4th workshop on Outlier Detection in Financial Data Streams &Big Data and Management Science Aihua Li, Central University of Finance and Economics, China. ([email protected]) Zhidong Liu, Central University of Finance and Economics, China. ([email protected]) Fan Meng (Central University of Finance and Economics, China, [email protected])
Workshop 04: Workshop on Machine Learning and Intelligent Awareness Xiaofei Zhou, IIE, Chinese Academy of Sciences, China. ([email protected]) Jianlong Tan, IIE, Chinese Academy of Sciences, China. ([email protected]) Jia Wu, Macquarie University, Australia. ([email protected])
Workshop 05: The 4th Workshop on Scientific Data Analysis and Decision Making Associate prof. Dengsheng Wu, Institutes of Science and Development, Chinese Academy of Sciences, China. ([email protected]) Prof. Qingsheng Pei (Qinghai Institute of Animal Husbandry and Veterinary Science, [email protected]) Prof. Jianping Li (Institutes of Science and Development, Chinese Academy of Sciences, China, [email protected]) Workshop 06: Supply Chain Finance Xianhua Wei, (Professor of School of Economics and Management, University of Chinese Academy of Sciences (UCAS) [email protected]) Jian Li (Professor of School of Economics and Management, Beijing University of Technology, China, ) Zhou He (Associate Professor of School of Economics and Management, University of Chinese Academy of Sciences (UCAS), China, )
Workshop 07: Workshop on Business Analytics and their Value Creation in the Business Taeho Park (San Jose State University, USA, [email protected]) Youngsik Kang (Myongji University, Korea, [email protected]) Heeseok Lee (KAIST College of Business, Korea, [email protected])
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ITQM 2019 Program AT A GLANCE
Monday, 4 November Tuesday, 5 November
Opening Session Keynote I (Aula Magna) 08:00-08:30 (Aula Magna) 08:30-09:10 /Speaker: Irene Ng) /Host: Enrique Herrera-Viedma Chair: Dan Berg Keynote I Keynote II (Aula Magna) 08:30-09:10 (Aula Magna) 09:10-09:50 /Speaker: Shu-Cherng Fang) /Speaker: Heeseok Lee) Chair: Felisa Cordova Chair: Jianping Li Keynote II 09:10-09:50 (Aula Magna) 09:50-10:10 Break /Speaker: Enrique Herrera-Viedma) Chair: Yong Shi Parallel Sessions (Aula Magna, Salon de Grados, Sala de Juntas, 09:50-10:10 Break 10:10-12:10 Aula A3) (General Session, Session 1, Session 3+Session 5, Session 10) Parallel Sessions (Aula Magna, Salon de Grados, Sala de 10:10-12:10 Juntas, Aula A3) 12:10-13:40 Lunch Time (General Session, Session 1, Session 2, Session 6) Parallel Sessions (Aula Magna, Salon de Grados, Sala de Juntas, 12:10-13:40 Lunch Time 13:40-15:40 Aula A3) (General Session, Workshop1, Session7+Session8) Parallel Sessions (Aula Magna, Salon de Grados, Sala de 13:40-15:40 Juntas, Aula A3) Wednesday, 6 November (General Session, Session 1, Session 2+Session 4, Session 6+Workshop4) Parallel Sessions Local Tour / Workshop 2, Workshop5, (Aula Magna, Salon de Grados, Sala de Juntas, Workshop 5+Workshop 7, Session11 15:40-18:00 09:00-11:00 Aula A) (Aula Magna, Salon de Grados, Sala de (Session 12, Workshop 3+Workshop 7, Juntas, Aula A3) Special Talk) 18:00-21:00 Banquet and IAITQM Awards
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TABLE OF CONTENTS 1. Conference Information ...... 13 2. Keynote Speech ...... 144 3. Detailed Schedule...... 166 4. Introduction of ITQM ...... 233 5. About Granada City ...... 29 6. About University of Granada ...... 30 7. Campus Map ...... 30-31 8. ITQM 2019 SPONSORSHIP ...... 32
Conference Information Hours of Registration ·Sunday, 3 November 12:00-18:00 ·Monday, 4 November 9:00-18:00 ·Tuesday, 5 November 9:00-18:00
Tour Information
Trip to the Granada city (15:40-18:00) (Local Tour)
Social Programs ·Banquet and IAITQM Awards（Chair: James Tien） Monday, 4 November, 18:00-21:00 (Hotel Barceló Carmen Granada Acera del Darro N°62) Awards Daniel Berg Award Richard Price Award Walter Scott Award Presented by Daniel Berg Floren G. Filip Fuad Aleskerov
Awards Siwei Cheng Award Conference Award Herbert Simon Award Presented by Yong Shi Felisa Cordova Jianping Li
Instruction for Speaker ·Keynote speech: 40 minutes ·Oral presentation: 20 minutes
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22 editorial boards of scientific journals in the general area of Keynote Speech Operations Research, Industrial/Systems Engineering and Management Science. He is also the Editor-in-Chief of Fuzzy Optimization and Decision Making. Keynote I (Aula Magna) Monday, 4 November Professor Fang has won many awards and has been listed in 08:30-09:10 several major biographic references. His research interests include Nonlinear Programming, Fuzzy Optimization and Decision Making, Soft Computing, and Logistics and Supply Optimization Models for Sparse Signal Recovery Chain Management.
Shu-Cherng Fang Walter Clark Chair and Distinguished University Alumni Keynote II (Aula Magna) Graduate Professor Monday, 4 November 09:10-09:50 Industrial & Systems Engineering Department and Operations Research Program Bibliometric Tools for Discovering Information in Science Chair: Felisa Cordova
Abstract Sparse signal recovery is an important topic of signal Enrique Herrera-Viedma processing with many potential applications. This talk presents Professor in Computer Science and A.I in University of some state-of-the-art optimization models for sparse signal Granada recovery and studies a newly developed quadratically constrained sub-one quasi-norm optimization model for better Vice-President for Research and Knowlegde Transfer recovery. Chair: Yong Shi Speaker Biography BS (National Tsing Hua University) MA (Johns Hopkins University) PhD (Northwestern University) Abstract In bibliometrics, there are two main procedures to Shu-Cherng Fang holds the Walter Clark Chair Professorship in explore a research field: performance analysis and science Industrial & Systems Engineering and Alumni Distinguished mapping. Performance analysis aims at evaluating groups of Graduate Professorship at North Carolina State University, scientific actors (countries, universities, departments, USA. He has been University Chair Professor of Tsinghua researchers) and the impact of their activity on the basis of University (Beijing) and Fudan University (Shanghai), bibliographic data. Science mapping aims at displaying the Honorary University Professor of Northeast University structural and dynamic aspects of scientific research, delimiting (Shenyang) and Shanghai University (Shanghai), Graduate a research field, and quantifying and visualizing the detected University Advisory Professor of the Chinese Academy of subfields by means of co-word analysis or documents co- Sciences (Beijing), Honorary University Chair Professor of citation analysis. In this talk we present two bibliometric tools National Chiao Tung University (Taiwan) and Honorary IEEM that we have developed in our research laboratory SECABA: H- Chair Professor of National Tsinghua University (Taiwan). Classics to develop performance analysis by based on Highly Before joining NC State, Professor Fang was Supervisor at Cited Papers and SciMAT to develop science mapping guided AT&T Bell Labs and Department Manager at the Corporate by performance bibliometric indicators. Headquarters of AT&T Technologies. Speaker Biography Enrique Herrera-Viedma is Professor in Professor Fang has published over two hundred refereed journal Computer Science and A.I in University of Granada and Vice- articles. He authored the books of Linear Optimization and President for Research and Knowledge Transfer. He is Vice- Extensions: Theory and Algorithms (Prentice Hall 1993, with S. President for Publications in the IEEE System Man and C. Puthenpura), Entropy Optimization and Mathematical Cybernetic Society. His current research interests include group Programming (Kluwer Academic 1997, with J.R. Rajasekera decision making, consensus models, linguistic modeling, and H.-S. Tsao), and Linear Conic Optimization (Science aggregation of information, information retrieval, bibliometrics, Publisher 2013, with Wenxun Xing). He is currently serving on digital libraries, web quality evaluation, recommender systems, block chain and social media. In these topics he has published Page 14 / 32 more than 250 papers in JCR journals and coordinated more Irene is a Professor of Marketing and Service Systems and the than 22 research projects. Dr. Herrera-Viedma is EiC of the Director of the International Institute for Product and Service journal Frontiers in Artificial Intelligence and an Associate Innovation at WMG, University of Warwick. She is also a Editor of more than 10 JCR journals such as the IEEE Trans. On Senior Member at Wolfson College, Cambridge. Irene was an Syst. Man, and Cyb.: Systems, IEEE Trans. On Fuzzy Systems, entrepreneur and practitioner for 16 years before switching to Knowledge Based Systems, Soft Computing, Fuzzy an academic career. During her time in industry she occupied a Optimization and Decision Making, Applied Soft Computing, number of senior positions in industry rising to become CEO of Journal of Intelligent and Fuzzy Systems, and Information SA Tours and Travel group of companies (Singapore, Malaysia, Sciences. According to Web of Science his h-index is 64 with China and UK) and founded Empress Cruise Lines, a company more than 17000 citations received and according to Google with an annual turnover of USD250m which she sold in 1996. Scholar his h-index is 84 with more than 28000 citations. He has An industrial economist through her doctoral training, Irene's been identified by Clarivate Analytics as a Highly Cited Author research lies in the trans-disciplinary understanding of value and in both scientific categories “Computer Sciences” and the design of markets and economic/business models. She is the “Engineering” during the years 2014, 2015, 2016, 2017 and recipient of several ESRC fellowship appointments, including 2018. being one of the 6 UK Advanced Institute of Management (AIM) research Services Fellows, the ESRC/NIHR Placement Fellow and more recently, one of the five ESRC/InnovateUK (Aula Magna) Keynote III Innovation Caucus Thought leaders. Both an entrepreneur and Tuesday, 5 November an academic, Irene is passionate about the link between practice 08:30-09:10 and research. She is an advisor to startups on new financial models in digital businesses. Crafting Data Rights and Emerging a Market for Personal Data at the Edge: The Hub-of-All- Keynote IV (Aula Magna) Things (HAT) Tuesday, 5 November 09:10-09:50 Irene Ng Turing Fellow Artificial Intelligence – Emerging Opportunities for Business and Academia Director, HATLAB@WMG, University of Warwick Heeseok Lee, Ph.D. Chief Executive Dataswift Ltd Chair Professor of Strategy and IT College of Business Chair: Dan Berg Korea Advanced Institute of Science and Technology Seoul KOREA Abstract In this lecture, I present the principles of the HAT data Chair: Jianping Li ownership model that aims to fundamentally re-balance the power and influence of data usage on the Internet through the Abstract Artificial Intelligence (AI) is not just technology, but use of markets. I describe the set of legal data rights crafted for the potential of revolutionary and disruptive change. individuals, and its technical implementation in the form of the Applications of AI are touching every walk of our lives even HAT Microserver. I then discuss the design of the HATDeX though years of research have shown us that the original platform, it’s governance and its economic and technical objective of human like AI is a tougher proposition. Real-life implementation to emerge a market for personal data at the cases of AI range from fraud monitoring, computer games, to “Edge” ie. real time on demand data transaction with Internet driverless cars. AI has ushered in humanity's new age as the applications at the point of data usage. Finally, I present data Industrial Revolution led to today's modern society. The from the platform and report the progress of the mission to re- business potential from emerging AI is unlimited. Global decentralise the Internet. companies and high tech start-ups are revolutionizing the current business models while IT researchers are sharpening Speaker Biography Director, HATLAB@WMG, University their studies coupled with this AI related phenomenon. Drawing of Warwick from on-going AI business applications and research, this talk will offer managerial and theoretical implications for practice and business. Page 15 / 32
Speaker Biography Heeseok Lee is Chair Professor of Strategy and IT at KAIST (Korea Advanced Institute of Science and Understanding Granular Aspects of Ontology for Technology), Seoul, Korea. He is now directing Digital Blockchain Databases (ID 26) Innovation Research Center. He was the formal Dean of the Zhengxin Chen Graduate School of Information and Media Management. He has also served as the Chair of Executive Program for more than ten years at KAIST. He is a frequently invited speaker for a talk SS 01: Special Session 01(Room Mon., 4 Nov. 2019 about strategic implication of IT for leading universities and Salon de Grados) 10:10-12:10 communities. He earned BA in Industrial Engineering from Chair: F. G. Filip, I. Dzitac, Cristian Ciurea Seoul National University, MS in Industrial Engineering from A multi-criteria weighting approach for Quality of KAIST, and Ph.D. in Management from the University of Life evaluation (ID 9) Arizona. Before joining KAIST, he taught at the University of Constanta Zoie Radulescu, Marius Radulescu, Adriana Alexandru, Nebraska. Dr Lee has published extensively in the areas of IT Marilena Ianculescu and Victor Vevera and Knowledge Management in leading journals such as MISQ, JMIS, I&M, EJOR and IJITDM. He has won numerous awards Application of an opinion consensus aggregation for outstanding research, teaching and service. His recent model based on OWA operators to the research on IT impact on team innovation at knowledge- recommendation of tourist sites (ID 16) intensive firms was awarded the Best Research at HICSS. He Itzcóatl Bueno, Ramón Alberto Carrasco, Raquel Ureña and Enrique also won the National Honorary Award in his efforts for Herrera-Viedma enhancing e-government. He was a recipient of Herbert Simon Award in 2015. He has contributed to IAITQM, especially as a Consensus versus Crowdsourcing in Collaborative conference chair of ITQM Conference in Korea. Decision-Making Applied in Cultural Institutions (ID 20) Cristian Ciurea and Jan Owsiński Detailed Schedule GS: General Session (Room Next generation IoT and its influence on decision- Mon., 4 Nov. 2019 making. An illustrative case study (ID 29) Aula Magna) 10:10-12:10 Chair: Fuad Aleskerov Gabriel Neagu, Marilena Ianculescu, Adriana Alexandru, Vladimir Florian and Constanţa Zoie Rădulescu Network analysis of scientific interactions on the problems of the Arctic (ID 18) USING PROFILING TO ASSEMBLE AN AGILE Fuad Aleskerov and Guzel Almukhametova COLLABORATIVE SOFTWARE DEVELOPMENT Using clustering methods to deal with high number of TEAM MADE UP OF FREELANCERS (ID 72) Ion Ivan, Mihai Despa and Eduard Budacu alternatives on Group Decision Making (ID 4)
Juan Antonio Morente-Molinera, Sergio Ríos-Aguilar, Rubén González-Crespo and Enrique Herrera-Viedma A comparative analysis between two statistical deviation–based consensus measures in Group Application of Data Distribution Technology in Decision Making problems (ID 74) Smart Cities (ID 8) Maria Jose del Moral, Francisco Chiclana, Juan Miguel Tapia, Cristobal Tapia Garcia and Enrique Herrera Viedma He Peixin and He Jing
The Recommendation Model of MiaoPai Short Video SS 02: Special Session 02(Room Mon., 4 Nov. 2019 Based on Microblog (ID 12) Sala de Juntas) Chair: hab. Ioan Dzitac, Florin Gheorghe 10:10-12:10 Manqing Zhu, Yue He, Yong Huang and Dan Zhang Filip, Misu-Jan Manolescu, Simona Dzitac
Threshold and Deadline Effect in Crowdfunding (ID Application of the Belief Function Theory to the 13) Development of Trading Strategies (ID 56) Alexander Lepskiy and Artem Suevalov Yan Song, Xin Tian and Chunlin Luo
Developing a smart healthcare promotion framework Group decision making and soft consensus: with an Aboriginal lens (ID 14) Analyzing citation classics by means of H-Classics (ID Bao Feng and Jing He 67) Page 16 / 32
Francisco Javier Cabrerizo, María De Los Ángeles Martínez, Javier Long Tang, Chunyan Yang and Xingsen Li López-Gijón, Jesús Cascón-Katchadourian and Enrique Herrera- Viedma GS: General Session (Room Mon., 4 Nov. 2019 Aula Magna) 13:40-15:40 Solution approach to a special class of full fuzzy Chair: Fuad Aleskerov linear programming problems (ID 82) Re-examination of a Bioinformatics Database Course: Bogdana Stanojevic, Simona Dzitac and Ioan Dzitac Engaging Blockchain Technology (ID 27) Combined Model-Free Adaptive Control with Fuzzy Zhengxin Chen Component by Virtual Reference Feedback Tuning for Tower Crane Systems (ID 101) Optimal Shipping Path Algorithm Design for Coastal Raul-Cristian Roman, Radu-Emil Precup, Claudia-Adina Bojan- Port (ID 28) Dragos and Alexandra-Iulia Szedlak-Stinean Yunfang Ma, Dan Chang, Hong Wang and Mincong Tang
A comparison between Fuzzy Linguistic RFM Model Real-time Human Corneal Images Processing and traditional RFM model applied to Campaign Analysis of Placido Disk Corneal Topography Using Management. Case study of retail business (ID 132) Extenics (ID 34) Rocío González Martínez, Ramón Alberto Carrasco, Jesús García- Nan Gao, Yuxuan Du and Yanwei Zhao Madariaga, Carlos Porcel and Enrique Herrera-Viedma Meta-analysis of Peer Effects on Smart Cities (ID 39) Selecting between CNC turning centers using a Fangyao Liu, Haotian Li, Chen Zhang, Yong Shi, Wei Deng and Yuejin Zhang combined AHP and fuzzy approach (ID 143)
Breaz Radu, Bologa Octavian, Racz Gabriel and Crenganiș Mihai Non-negative Matrix Factorization Based Learning from Label Proportions for Vehicle Loan Default Detection (ID 49) (Room SS 06: Special Session 06 Hai Li, Qiang Tong and Bo Wang Aula A3) Mon., 4 Nov. 2019 Chair: Xingsen Li, Chunyan Yang, Yanwei 10:10-12:10 Zhao, Ping Yuan A Novel Texture Generation Super Resolution Model Extenics based Innovation of New Professional (ID 53) Biao Li, Yong Shi, Sujuan Li, Bo Wang, Zhiquan Qi and Jiabin Liu Farmer Cultivation under the Strategy of Rural Vitalization (ID 24) Ping Yuan, Xiaorui Zhao and Shouzhen Zeng SS 01: Special Session 01(Room Mon., 4 Nov. 2019 Salon de Grados) 13:40-15:40 Chair: F. G. Filip, I. Dzitac, Cristian Ciurea How to disseminate Core Socialist Values Online: A New Method Based on Extenics (ID 42) Collaborative development of a CPS-based Zhiwei Yu, Liming Chen and Xingsen Li production system (ID 81) Constantin Zamfirescu and Mihai Neghina Extension data mining method for improving product manufacturing quality (ID 43) Integrated Decision Making using the Blockchain (ID Siyuan Chen, Xingsen Li, Renhu Liu and Shouzhen Zeng 95) Manuel Adelin Manolache and Nicolae Tapus Extension Analysis of Manufacturing Cost and Construction of basic-elements Model (ID 44) Knowledge Management of Intangible Actives in Renhu Liu, Xingsen Li and Siyuan Chen Service Companies (ID 97) Felisa Cordova, Claudia Duran, Fredi Palominos, Mauricio Pincheira Research on Design Evaluation of Air-WMM By and Raquel Galindo
Priority- degree Evaluating Method (ID 83) A collaborative approach to resilient and antifragile Jinzhen Dou, Zhi Tang, Haotian Li, Chang Xu and Xingsen Li business ecosystems (ID 104) Javaneh Ramezani and Luis M. Camarinha-Matos Extension Support Vector Machine for Extension
Classification(new) (ID 113) Page 17 / 32
CloudifierNet - Deep Vision Models for Artificial Extension Theory for the Reconstruction of Image Processing (ID 110) Traditional Villages: case example in Dawa Village Andrei Ionut Damian, Laurentiu Piciu, Alexandru Purdila and (ID 160) Nicolae Tapus Tao Wang, Qingying He, Dongsheng Wang, Kemi Adeyeye and Peng Yu Using Serious Games and Simulations for Teaching Co-Operative Decision-making (ID 122) Finding new ideas of traditional village Ioana Andreea Ștefan, Jannicke Baalsrud Hauge, Florian Hasse and reconstruction and renewal design through extension Antoniu Ștefan thinking method (ID 161)
Tao Wang, Jiamin Ma, Dongsheng Wang, Kemi Adeyeye and Peng SS 02&04: Special Session Yu 02&04(Room Sala de Juntas) Mon., 4 Nov. 2019 Chair: hab. Ioan Dzitac, Florin Gheorghe 13:40-15:40 Optimal Coordination Path Selecting Method for Filip, Misu-Jan Manolescu, Simona Dzitac Conduction Transformation Based on Floyd Gang Kou, Fan Wang, Daji Ergu, Algorithm (ID 177) Dynamic Analysis of a 7 DOF Robot Using Fuzzy Yanwei Zhao, Gengyu Wu, Fangzhi Gui, Chen Xu, Shedong Ren and Logic for Inverse Kinematics Problem (ID 144) Zhiwei Xie Crenganiș Mihai, Tera Melania, Biriș Cristina and Gîrjob Claudia Understanding Users’ Searching Behavior Switching Classification and Feature Selection Method for from PC to Mobile: From a Dual Perspective of Medical Datasets by Brain Storm Optimization Enablers and Inhibitors (ID 25) Algorithm and Support Vector Machine (ID 153) Minghong Chen, Xianjun Qi, Xiaoli Lu and Jing Li Eva Tuba, Ivana Strumberger, Timea Bezdan, Nebojsa Bacanin and Milan Tuba A Comparison of Credit Rating Classification Models Based on Spark- Evidence from Lending-club (ID 91) An analysis of links between the ownership structure Bai Ruyu, Hai Mo and Li Haifeng and financial stability: case of Russian companies (ID 17) WS 02: Workshop 02(Room Alexander Karminsky and Alexey Rybalka Mon., 4 Nov. 2019 Salon de Grados) 15:40-17:40 Chair: Jianping Li, Xiaolei Sun, Rongda Chen A study on predicting loan default based on the Measuring corruption using the Internet data: random forest algorithm (ID 61) Example from countries along the Belt and Road (ID Lin Zhu, Daji Ergu, Dafeng Qiu, Ying Cai and Kuiyi Liu 15) Lili Pan, Qianqian Feng, Jianping Li, Lin Wang and Xiaoqian Zhu Document images classification based on deep learning (ID 65) Market Risks Prevention and Control of "Going Biao Hu, Daji Ergu, Huan Yang, Ying Cai and Kuiyi Liu Global" for Chinese Electrical Enterprises (ID 30) Mingyue Jiang, Guowei Gao, Yirui Deng and Chenglong Wang A New Approach to Process the Unknown Words in
Financial Public Opinion (ID 66) Ensemble forecasting for electricity consumption Kuiyi Liu, Daji Ergu, Bo Gong, Ying Cai and Jiazhen Sheng based on nonlinear optimization (ID 64) Jun Hao, Qianqian Feng, Guowei Gao, Xiaolei Sun and Weilan Suo SS 06&WS 04: Special Session 03&Workshop 04(Room Aula A3) Mon., 4 Nov. 2019 Risk factors identification and evolution analysis Chair: Xingsen Li, Chunyan Yang, Yanwei 13:40-15:40 from textual risk disclosures for insurance industry Zhao, Ping Yuan, Xiaofei Zhou, (ID 79) Jianlong Tan, Jia Wu Yinghui Wang, Bin Li, Guowen Li, Xiaoqian Zhu and Jianping Li Classification conducting knowledge acquisition by an evolutionary robust GRBF-NN model (new) (ID Carbon futures price forecasting based with ARIMA- 114) CNN-LSTM model (ID 80) Long Tang, Chunyan Yang and Xingsen Li Lei Ji, Yingchao Zou, Kaijian He and Bangzhu Zhu
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Can stock markets lead the macroeconomic Chair: Dengsheng Wu, Qingsheng Pei, variables? Dynamic analysis based on TOP method Jianping Li, Taeho Park, Youngsik (ID 86) Kang, Heeseok Lee Zhenni Jin, Yijing Wang and Kun Guo Area Definition and Public Opinion Research of Natural Disaster Based on Micro-blog Data (ID 6) The dynamical relationship between capital market Yue He, Lijun Wen and Tingting Zhu and macro-economy: based on dynamic Bayesian network (ID 94) Decision Model for "Going Global" of China's Yue Liu and Kun Guo Electric Power Technology and Equipment (ID 32) Chenglong Wang, Li Ma and Xiaofeng Xu WS 05: Workshop 05 (Room Aula Magna) Mon., 4 Nov. 2019 Forecasting the number of inbound tourists with Chair: Dengsheng Wu, Qingsheng Pei, 15:40-17:40 Google Trends (ID 77) Jianping Li Yuyao Feng, Guowen Li, Xiaolei Sun and Jianping Li Temporal and Spatial Change Monitoring of Vegetation Coverage in Haiyan County Based on GF- Incentive Strategies of Different Channels in an 1 (ID 124) Electric Vehicle Battery Closed-Loop Supply Chain Xu Zhang, Qingsheng Pei, Yan Chen, Ying Guo, Yanan Hou and Rui (ID 100) Sun Hongfang Song and Hongrui Chu
Temporal and Spatial Changes Monitoring of Study on Temporal and Spatial Change of Vegetation Vegetation Coverage in Qilian County Based on GF-1 Coverage in Haiyan County Based on GF-1 (ID 123) Image (ID 125) Xu Zhang, Qingsheng Pei, Yan Chen, Ying Guo, Yanan Hou and Rui Xu Zhang, Qingsheng Pei, Yan Chen, Ying Guo, Yanan Hou and Rui Sun Sun Applications of Blockchain to Improve Supply Chain Research and Implementation of a Method for Web Traceability (ID 162) Log Analysis Template Extraction (ID 129) Ju Myung Song, Jongwook Sung and Taeho Park Zengchao Ni, Hongqi Liu and Yuanping Chen SS 11: Special Session 11 (Room Mon., 4 Nov. 2019 Classifying the geology journals by editorial board Sala de Juntas) 15:40-17:40 interlocks (ID 130) Chair: Sungbum Park, Heewon Cheong, Xiaoli Lu, Cuifeng Ma and Shiyi Wang Jongwon Lee High-Speed Collector for Big Data Gathering Nomadic path optimizing model under multi-factor in Smart Factory (ID 22) constraints (ID 164) Sun-Pyo Lee, Kong-Seob Ryu, Sung-Bum Park, Xiaoyan Gu, Zirui Jia, Dengsheng Wu, Qingsheng Pei and Jianping Hwally Lee, Seohyun Kim, and Hee-Woon Cheong Li Applying Clustering and Co-occurrence Methods to Research on Dynamic Rotational Grazing Identifying Key Events and Their Relations in Assignment Model based on Grass Resource Leveling Chinese Stock Market (ID 134) (ID 168) Jiachen Wu, Yaling Wang and Yue Wang Xiaoyan Gu, Zirui Jia, Yingying Yang, Dengsheng Wu and Jianping Li GS: General Session (Room Tues., 5 Nov. 2019 Aula Magna) Multi-agent nomadic routes network planning 10:10-12:10 Chair: Fuad Aleskerov considering grassland-livestock balance (ID 169) Xiaoyan Gu, Qian Liu, Zhigang Wang, Jianping Li and Dengsheng Identity authentication on mobile devices using face Wu verification and ID image recognition (ID 69) Xing Wu, Xu Jianxing, Wang Jianjia, Li Yufeng, Li Weimin and Guo Yike WS 05&07: Workshop Mon., 4 Nov. 2019
05&07(Room Aula A3) 15:40-17:40 Page 19 / 32
On the bounds of weak manipulability of Herrera-Viedma majoritarian aggregation procedures (ID 70) Fuad Aleskerov, Daniel Karabekyan, Alexander Ivanov and SS 03&05: Special Session 03& Vyacheslav Yakuba 05(Room Sala de Juntas) Tues., 5 Nov. 2019
Chair: Vassil Alexandrov, Ying Liu, Nitin 10:10-12:10 User Acceptance Model of Government Upadhyay Microblogging and Its Empirical Study (ID 71) Categorize the Power Grid Projects with SOM Xianjun Qi, Minghong Chen and Xiaoli Lu Method (ID 23) Haifeng Li, Yuejin Zhang and Mo Hai Review of Bankruptcy Prediction using Machine
Learning or Deep Learning Techniques (ID 75) A Classification Prediction Analysis of Flight Yi Qu, Yong Shi and Lingfeng Niu Cancellation Based on Spark (ID 92) Yu Yanying, Hai Mo and Li Haifeng An efficient heuristic approach for solving the two- stage supply chain problem with fixed costs Fragment-aided recognition of images under poor associated to the routes (ID 76) Ovidiu Cosma, Petrica Pop and Cosmin Sabo lighting and additive impulse noises (ID 106) Viacheslav Kalashnikov, Viktor V. Avramenko, Nataliya Kalashnykova and Vladimir N. Demyanenko Extenics: A new approach for the Design, Reconstruction and Renewal of Traditional Villages A conceptual model for a cyber-social-technological- (ID 85) cognitive smart medium-size port (ID 112) Wang Tao, Ma Jiamin , Wang Dongsheng, Kemi Adeyeye, Yu Peng Claudia Durán, Felisa Córdova and Fredi Palominos
SS 01: Special Session 01(Room Tues., 5 Nov. 2019 Blockchain Enabled Cyber-Physical Society Salon de Grados) 10:10-12:10 Framework (ID 135) Chair: F. G. Filip, I. Dzitac, Cristian Ciurea Nitin Upadhyay Improve efficiency in multidimensional database queries through the use of additives aggregation Investigating Prime Minister Narendra Modi’s Usage functions (ID 126) of Pathos in the Cyber-Physical Society – A Case of Fredi E. Palominos, Claudia A. Durán and Felisa M. Córdova Public Relations Campaign (ID 137) Shalini Upadhyay and Nitin Upadhyay ArdoCare – A collaborative medical decision support system (ID 131) SS 10: Special Session 10(Room Ciprin Cândea, Gabriela Cândea, and Zamfirescu Bălă Constantin Aula A3) Tues., 5 Nov. 2019 Chair: Jesús Serrano-Guerrero, Antonio 10:10-12:10 On the Algorithms of Identifying the Opinion Gabriel López Herrera, Francisco P. Romero, Leaders in Social Networks (ID 147) José Angel Olivas Sofya A. Semenkovich and Olga A. Tsukanova A method for the semantic analysis of documents in a business context in Spanish (ID 33) Collaborative Value Modelling in corporate contexts Ruben Rodriguez-Cardos, Francisco P. Romero, Jose A. Olivas and with MACBETH (ID 152) Jesus Serrano-Guerrero Carlos A. Bana e Costa, Ana C.L. Vieira, Mónica Nóbrega, António Quintino, Mónica D. Oliveira and João Bana e Costa A proposal for a recommender system for scientific relevance (ID 73) Spatial and territorial development planning: digital Jared D.T. Guerrero-Sosa, Francisco Pascual Romero, Jesús Serrano- challenge and reinvention using a multi-disciplinary Guerrero, Victor Menendez-Dominguez and María Enriqueta approach to support collaborative work (ID 157) Castellanos-Bolaños Maria Visan Latent Dirichlet Allocation (LDA) for improving the Leveraging Users' Trust and Reputation in Social topic modeling of the oficial bulletin of the spanish Networks (ID 170) state (BOE) (ID 142) Raquel Ureña, Francisco Chiclana, Ramon A. Carrasco and Enrique J.C. Bailón-Elvira, M.J. Cobo, E. Herrera-Viedma and A.G. López- Page 20 / 32
Herrera WS 01: Special Session
11&Workshop 01 (Room Salon de Tues., 5 Nov. 2019 A semantic polarity detection approach: A case study 13:40-15:40 applied to a Spanish corpus (ID 148) Grados) Chair: Yingjie Tian, Zhiquan Qi, Yong Shi Alejandro Ramón Hernández, María Matilde García Lorenzo, Alfredo Simón-Cuevas, Leticia Arco and Jesus Serrano-Guerrero Multi-view SVM Classification with Feature Selection (ID 47) A cloud-based tool for sentiment analysis in reviews Yuting Niu, Yuan Shang and Yingjie Tian about restaurants on TripAdvisor (ID 151) M.M. Aguero-Torales, M.J. Cobo, E. Herrera-Viedma and A.G. A Study on Mobile Customer Churn Based on López-Herrera Learning from Soft Label Proportions (ID 52) Kaili Lu, Xingqiu Zhao and Bo Wang A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds (ID 166) Multi-Class Learning from Label Proportions for Álvaro Tejeda-Lorente, Juan Bernabé-Moreno, Julio Herce-Zelaya, Bank Customer Classification (ID 54) Carlos Porcel and Enrique Herrera-Viedma Yaxing Qian, Qiang Tong and Bo Wang
GS: General Session (Room Tues., 5 Nov. 2019 Urban tourism competitiveness evaluation system: Aula Magna) Chair: Fuad Aleskerov 13:40-15:40 Comparison and analysis of regression and classification methods (ID 59) Examination of the energy trading status of China Shuze Guo, Yao Jiang and Wen Long and India and the prospect for cooperation (ID 103) Shuying He and Kun Guo A General Feature Abstraction Method for Clustering Algorithm (ID 127) Web platform for learning distributed databases' Haifeng Li, Ning Zhang, Mo Hai and Yuejin Zhang queries processing (ID 105) Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Alvaro Tejeda-Lorente and Enrique Herrera-Viedma SS 07&08: Special Session Tues., 5 Nov. 2019 07&08(Room Sala de Juntas) 13:40-15:40 Analyzing Health Seeking Behavior of Chinese Chair: Manuel J. Cobo, José Antonio Moral Muñoz, Fernando Yanine Residents and Their Influencing Factors: Based on CHNS Data (ID 133) Looking Over the Research Literature on Software Jiayu Xue, Xinyue Ren, Yuanjie Xu and Qianqian Feng Engineering from 2016 to 2018 (ID 96) Ruben Heradio, David Fernandez-Amoros, Daniel Galan, Francisco Javier Cabrerizo and Enrique Herrera-Viedma Research on Influencing Factors of P2P Network
Loan Prepayment Risk Based on Cox Proportional The last five years of Big Data Research in Hazards Model (ID 138) Economics, Econometrics and Finance: Identification Jie Wan, Heng Zhang, Gang Li, Xiaoqian Zhu and Xiaolei Sun and conceptual analysis (ID 111) An automatic skills standardization method based on José Ricardo López-Robles, Marisela Rodríguez-Salvador, Nadia Karina Gamboa-Rosales, Selene Ramirez-Rosales and Manuel Jesús subject expert knowledge extraction and semantic Cobo matching (ID 158) Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Carlos Porcel, Julio Herce-Zelaya and Enrique Herrera-Viedma A bibliometric study of the research area of videogames using Dimensions.ai database (ID 118) Pablo García Sánchez, Antonio M. Mora, Pedro A. Castillo and A fuzzy linguistic supported framework to increase Ignacio J. Perez Artificial Intelligence intelligibility for subject matter experts (ID 167) Discovering Rehabilitation trends in Spain: A Juan Bernabé-Moreno and Karsten Wildberger bibliometric analysis (ID 146) Jose A. Moral-Munoz, Ana I. Pacheco-Serrano, David Lucena-Anton and Manuel J. Cobo
Grid-tied distributed generation with energy storage Page 21 / 32 to advance renewables in the residential sector: tariff A bi-level programming model for oilfield analysis with energy sharing innovations; Part I. (ID development and its solution algorithm based on 150) interactive intuitionistic fuzzy method (ID 173) Fernando Yanine, Antonio Sanchez-Squella, Antonio Parejos, Aldo Chao Min, Yanjie Hu, Chunhua Hou, Jing He and Zhibin Liu Barrueto and Hans Rother
WS 03&07: Workshop SS 12: Special Session 12(Room 03&07(Room Sala de Juntas) Wed., 6 Nov. 2019 Aula Magna) Wed., 6 Nov. 2019 Chair: Aihua Li, Zhidong Liu, Fan Meng, 09:00-11:00 Chair: Jing He, Zhiwang Zhang, Bo Mao, 09:00-11:00 Taeho Park, Youngsik Kang, Heeseok Hai Liu, Guangyan Huang Lee Recommendation of Clinical Diagnostic Literature Find the Power Grid Projects with Optimized based on Random Forest Model and Query Clutering Method (ID 3) Expansion (ID 1) Haifeng Li, Yuejin Zhang and Mo Hai Beiliang Cui, Hao Ding, Shuqing Li and Guangguang Zhuang Political Attitudes of the Chinese Young People ：An The recommendation service of the shareholding for Empirical Study Based on Anti-Corruption Issue (ID fund companies based on improved collaborative 120) filtering method (ID 7) Meihong Zhu and Aihua Li Beiliang Cui, Hao Feng, Shuqing Li and Liu Lu Factor analysis and prediction of crowdfunding Blockchain based Data Distribution and Traceability project funding ratio: an empirical study based on Framework in the Electric Information Management Zhongchou Wang in China (ID 121) System (ID 98) Yifei Guo, Meihong Zhu and Aihua Li Mengchen Cai, Ming Li and Wanwan Cao Research on Smart City Evaluation Based on Integrated Application of Blockchain in the Electric Hierarchy of Needs (ID 145) Information Management System (ID 99) Yuejin Zhang, Fangyao Liu, Zhiqiang Gu, Zhengxin Chen, Yong Shi Chang Xu, Yuan Fang and Yong Ma and Aihua Li
Enhanced Classification Models for Astrophysical Stock Classification Prediction Based on Spark (ID Data (ID 171) 58) Yuanyuan Wu, Jing He, Yimu Ji, Guangli Huang, Haichang Yao, Jiang Xianya, Hai Mo and Li Haifeng Peng Zhang, Wen Xu, Mengjiao Guo and Youtao Li Difference in Differences in Marketing Performance Unified Searching Service for Electric Big Data (ID Measurement (ID 102) 172) Wei Deng, Fangyao Liu, Nan Xu, Yong Shi and Haotian Li Lifang Gao, Qimeng Li, Yangyang Lian, Pengpeng Lv and Wenfang Zhou Sepecial Talk Wed., 6 Nov. 2019 (Room Aula A3) 09:00-11:00 Chair: Qiuli Zhang and Liya Yun
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The inauguration meeting of IAITQM successfully took place in Omaha of United States on Sunday, June 3, 2012. More than 50 participants, coming from China, United States, Australia, South Korea, Japan, The Netherlands, Poland, Romania, Singapore, Spain, Lithuania, Turkey and other countries, attended the meeting.
IAITQM is glad to have Prof. Siwei Cheng (deceased), Mr. Walter Scott (Chairman of Level 3 Communications Inc., board member of Berkshire Hathaway Inc) and Prof. James Tien (University of Miami) to serve as the Honorary Chairmen. IAITQM attendees discussed and passed the IAITQM bylaws, and held the first election. Attendees elected Prof. Yong Shi as the President, Prof. Peter Wolcott as the Vice President for Conferences, Prof. WikilKwak as the Vice President for Finance, and Prof. Jianping Li as the Secretary. According to the bylaws, the attendees also elected five committees and their chairpersons, namely, the advisory committee, the awards committee, the executive committee, the conferences committee, and the publications committee.
IAITQM’s Vision: The International Academy of Information Technology and Quantitative Management (The Academy) is a global community for educators, scholars, policy makers and professionals to promote innovation and excellence of information technology and quantitative management.
IAITQM’s Mission: The Academy (1). Develops and maintains a professional identity for all educators, scholars, policy makers and professionals in the fields of information technology and quantitative management around the world; (2). Promotes the use of information technology in business and other areas to gain competitive capability; (3). Promotes the development of quantitative models in support of identifying solutions that can improve business management and operations; (4). Provides multiple interchange or communication venues, including conferences, journals, books, newsletters, etc. to enhance the exchanges of ideas, research findings and business practices related to information technology and quantitative management; (5). Acts as a leading association of information technology and quantitative management to improve business efficiency and effectiveness and eventually the quality of life for all humans.
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The IAITQM inauguration meeting, June 3, 2012,Omaha, NE, USA
The First International Conference on Information technology and Quantitative Management,May 2013,Suzhou, China
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The Second International Conference on Information technology and Quantitative Management,June 2014, Moscow, Russia
The Third International Conference on Information technology and Quantitative Management,July 2015, Rio, Brazil
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The Fourth International Conference on Information technology and Quantitative Management, August 2016, Asan, Korea
The Fifth International Conference on Information technology and Quantitative Management, December 2017, New Delhi, India
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The Sixth International Conference on Information technology and Quantitative Management, October 2018, Omaha, USA
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Conference Map
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Granada A University City Granada is, first and foremost, a university city. It has a population of 240,000 people, 75,000 of which are students, lecturers, researchers and administrative and service staff directly linked to the UGR, meaning that a staggering 1 in every 3 inhabitants of Granada is directly linked to the University. As a result, a lively student atmosphere has flourished in the city, giving rise to the development of a modern, multicultural and vibrant study destination that welcomes people from all backgrounds.
The UGR’s 5 campuses in Granada and its other educational centres are spread out across the city, giving it an unmistakable university feel. The remaining two campuses are found in the North African cities of Ceuta and Melilla, making it a truly intercontinental institution.
As the University is at the heart of the city, Granada provides incoming students with excellent sports facilities, along with a wide range of cultural activities. It is also one of the least expensive cities in Spain, while it is commonly regarded as offering one of the highest levels of quality of life.
Both of words and photo are taken from: https://www.ugr.es
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About University of Granada：
The University of Granada (Spanish: Universidad de Granada, UGR) is a public university located in the city of Granada, Spain, and founded in 1531 by Emperor Charles V. With approximately 80,000 students, it is the fourth largest university in Spain. Apart from the city of Granada, UGR also has campuses in Northern Africa (Ceuta and Melilla).
The University of Granada dates back as far as the Middle Ages with the founding of the Madrasa Yusufiyya in 1349 by Yusuf I, the Sultan of Granada. Accordingly, it is considered one of the most important universities in the world in terms of its historical value.
National and international ranking agencies collectively indicate that the UGR continues to make strides as a higher education institution, including it among the top 3% of universities worldwide. The 2018 edition of the Academic Ranking of World Universities (ARWU) places the University of Granada in 278th position in the world and as the third-highest ranked university in Spain, reaffirming its position as an institution at the forefront of national and international research.
In the academic year 2012/2013 almost 2,000 European students were enrolled in UGR through the Erasmus Programme, making it the most popular European destination. The university's Center for Modern Languages (CLM) receives over 10,000 international students each year. In 2014, UGR was voted the best Spanish university by international students.
Campus Map
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Campus Map
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