Group Decision Making Model Based on Probabilistic Hesitant Fuzzy Information Aggregation Operations
WU Wenying, LI Ying, JIN Feifei, NI Zhiwei, ZHU Xuhui
School of Management, Hefei University of Technology, Hefei 230009 Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Hefei University of Technology, Hefei 230009
Abstract：Serious loss of the decision information is caused while the decision making information is described by the existing hesitant fuzzy sets. In this paper, a multi-attribute group decision making model is designed on the basis of the probabilistic hesitant fuzzy information aggregation operators. Firstly, the Archimedean norm is introduced under the probability hesitation fuzzy environment to define the probability hesitation fuzzy operation rule. Secondly, the generalized probabilistic hesitant fuzzy ordered weighted averaging(GPHFOWA) operator and the generalized probabilistic hesitant fuzzy ordered weighted geometric(GPHFOWG) operator are proposed based on the operation rule, and their basic properties are discussed. Subsequently, several common forms of GPHFOWA operator and GPHFOWG operator and their relations are analyzed. Finally, a probabilistic fuzzy multi-attribute group decision making model is constructed by using the two kinds of operators, and the feasibility and the effectiveness of the decision model are verified by an example of supplier selection.
武文颖，李应，金飞飞，倪志伟，朱旭辉. 基于概率犹豫信息集成方法的群决策模型*[J]. 模式识别与人工智能, 2017, 30(10): 894-906.
WU Wenying, LI Ying, JIN Feifei, NI Zhiwei, ZHU Xuhui. Group Decision Making Model Based on Probabilistic Hesitant Fuzzy Information Aggregation Operations. , 2017, 30(10): 894-906.
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2017, Vol. 30 
