报告题目:Large Scale Group Decision Making:Managing Group Hesitation
报告专家:Prof. Luis Martínez (IJICS主编)
报告时间:2019年05月31日下午3:00-4:30
报告地点:欢迎来到公海欢迎来到赌船335教室
报告摘要:Consensus reaching processes (CRPs) play an increasingly important role in the resolution of group decision making (GDM) problems: a solution acceptable to all the experts participating in a problem is necessary in many real-life contexts. The appearance of new requirements in GDM problems related to the group members involved due to new technology enablement, societal and technological trends, such as e-democracy and social networks, has provided a new trend in GDM as it is Large Scale Group Decision Making (LGDM). In these problems CRPs keep playing the same key role to obtain group acceptable solutions or even more important because agreed solutions are harder. Due to the fact that, in spite of the myriad of classical CRP models in the literature they have not shown themselves as a valid tool in LGDM because of different reasons. This talk aims at dealing with several different objectives.
Firstly, it is analysed the performance of classical CRPs in LGDM by using the Consensus framework AFRYCA. From such an analysis different objectives and challenges of CRPs for LGDM are pointed out Secondly, a comprehensive and adaptive CRP for LGDM based on hesitant modelling is presented. Eventually, some ongoing research and future directions will be pointed out to show that this topic will be a long term research trend.
报告人简介:Dr. Luis Martínez he is Full Professor of Computer Science Department at the University of Jaén. His current research interests are decision making, computing with words and recommender systems. He is Co-Editor in Chief of the International Journal of Computational Intelligence Systems and an Associated Editor of the journals IEEE Transactions on Fuzzy Systems, Information Fusion, the International Journal of Fuzzy Systems, Journal of Intelligent & Fuzzy Systems. He received twice the IEEE Transactions on Fuzzy Systems And he is Visiting Professor in University of Technology Sydney. Eventually, he has been appointed as Highly Cited Researcher 2017 in Computer Science according to the Web of Science.