A Novel Multi-Attribute Decision-Making Method Based on Probabilistic Hesitant Fuzzy Soft Set and Its Application  

作　　者：Zhenchun ZANG Jielu LI Meng WEI 

机构地区：[1]College of Computer and Information Engineering,Henan University of Economics and Law,Zhengzhou 450046,China

出　　处：《Journal of Systems Science and Information》2024年第2期294-308,共15页系统科学与信息学报（英文）

基　　金：Supported by 2023 Henan Provincial Department of Science and Technology Key R&D and Promotion Special Project(Soft Science Research)(232400411049);Henan Province Science and Technology Research and Development Plan Joint Fund(Industry)Project(225101610054)。

摘　　要：The probabilistic hesitant fuzzy multi-attribute group decision-making method introduces probability and hesitation into decision-making problems at the same time,which can improve the reliability and accuracy of decision-making results,and has become a research hotspots in recent years.However,there are still many problems,such as overly complex calculations and difficulty in obtaining probability data.Based on these,the paper proposes a multi-attribute group decision-making model based on probability hesitant fuzzy soft sets.Firstly,the definition of probabilistic hesitant fuzzy soft set is given.Then,based on soft set theory and probabilistic hesitant fuzzy set,the similarity measure of probabilistic hesitant fuzzy soft set is proposed,and the two measures are further combined.Finally,it is applied to the construction of multi-attribute group decision-making model,and the effectiveness and rationality of the model are verified by an example.The example shows that the new similarity calculation formula and algorithm model in this paper have higher accuracy,and the calculation process is more simple,it provides a feasible method for multi-attribute group decision making problems.

关 键 词：probabilistic hesitant fuzzy soft sets SIMILARITY multi-attribute group decision-making model 

分 类 号：O159[理学—数学] O225[理学—基础数学]