Abstract: Based on the decision risk caused by both the ambiguity of emergency decision information and the large group preference conflict, a large group risk emergency decision method based on the Entropy of Fuzzy and Conflict is proposed. The first, the decision group is clustered by preferences to form aggregation preference matrix. Second, the interval-valued intuitionistic fuzzy (IVIF) distance is proposed in the form of intuitionistic fuzzy (IF) number in order to reduce the loss of preference information. And generalized IVIF number is also defined. Combining with prospect theory, the IF prospect matrix of different cluster is obtained by conversion. Then, large group emergency decision model of fuzzy conflict entropy is constructed, the goal is to minimize the risk in the process of emergency decision. According to the optimization model, the weight of every attribute can be got, and then prospect matrix and attribute’s weight are aggregated to figure out the comprehensive prospect values which decide the ranking of alternatives. Finally, a case analysis and comparison are used to illustrate the rationality and effectiveness of above method.
Keywords: Large-scale group; Emergency decision; entropy of fuzzy and conflict entropy; Risk decision

Biography: Prof. Xu is Doctoral Supervisor, Director of Research Center for Big Data and Intelligent Decision at Department of Management Science and Information Management, Central South University of China. He has more than 150 academic papers including 30 SCI/SSCI-indexed papers, over 40 EI-indexed papers, 4 academic monographs and 3 editors-in-chief textbooks, which are published in many reputed journals such as Decision Support Systems, Information Sciences, IEEE Transactions on Fuzzy Systems, Knowledge-Based Systems, Group Decision and Negotiations, Applied Soft Computing, Human and Ecological Risk Assessment, Natural Hazards, Soft Computing, International Journal of Disaster Risk Reduction, International Journal of Information & Technology & Decision Making, Computers & Operations Research, Journal of Intelligent & Fuzzy Systems. The research results have won one second-prize for national scientific and technological progress, one first-prize for provincial and ministerial level, four second-prizes for provincial and ministerial level, two patents for inventions in China and three software copyrights.

Research fields: Theory & method of complex large group decision-making, Big data intelligent decision method, Information system and decision support system, Risk analysis and Emergency management, Decision analysis for complex engineering etc.