犹豫模糊集决策理论与方法综述  

Review of Hesitant Fuzzy Set Decision Theory and Method

作　　者：殷仕淑[1] 信芳 Yin Shishu;Xin Fang(Anhui University of Finance and Economics,Bengbu City,Anhui Province 233041)

机构地区：[1]安徽财经大学管理科学与工程学院,安徽蚌埠233041

出　　处：《黄河科技学院学报》2021年第5期26-34,共9页Journal of Huanghe S&T College

基　　金：安徽省自然科学基金青年项目(1808085QF196);安徽省高等学校自然科学重点研究项目(KJ2020A0011);安徽财经大学教研重点项目(acjyzd201814)。

摘　　要：犹豫模糊集是在模糊信息的基础上通过采用多个隶属度来充分刻画原始信息的一种信息表达方式。与模糊集相比它能够全面刻画专家给出的决策信息,与直觉模糊集相比它更加符合人在决策时的犹豫性。对犹豫模糊集决策理论和方法进行综述,介绍犹豫模糊集的发展历程,分别回顾犹豫模糊集的信息融合理论、信息测度理论、偏好关系理论以及多属性决策理论,总结了犹豫模糊环境下决策理论与方法的未来研究方向。Hesitant fuzzy set is a kind of information expression based on fuzzy information by using multiple membership degrees to fully describe the original information.Compared with fuzzy sets,it can describe the decision information given by experts comprehensively.Compared with intuitionistic fuzzy sets,it is more consistent with people's hesitation in decision-making.This paper reviews the theory and method of hesitant fuzzy set decision making.This paper first introduces the development of hesitant fuzzy sets,then reviews the information fusion theory,information measurement theory,preference relation theory and multi-attribute decision-making theory of hesitant fuzzy sets,and finally it summarizes the future research direction of decision-making theory and method in hesitant fuzzy environment.

关 键 词：多属性决策 犹豫模糊集 信息融合 信息测度 偏好关系 

分 类 号：C934[经济管理—管理学]