摘要
犹豫模糊偏好关系作为一种刻画事物不确定性的有效表达方式,能够用多个可能的隶属度同时描述决策者对事物两两比较的评价结果.本文对基于犹豫模糊偏好关系的决策理论发展进行了综述:首先介绍了犹豫模糊偏好关系的发展背景及定义;然后从基于偏好关系的权重导出模型,一致性测度及非一致性修正算法和群体共识模型的角度概述了犹豫模糊偏好决策的研究进展;并且给出了一些基于犹豫模糊拓展型偏好关系的决策理论以及现有相关决策模型的应用,最后展望了基于犹豫模糊偏好关系的研究前景.
As an effective tool to portray the uncertainty of the objects,hesitant fuzzy preference relation(HFPR)reflects the pairwise comparison results given by decision makers through several possible fuzzy numbers.In the paper,we present the retrospection of the decision-making theory based on HFPRs.We first introduce the development and definition of the HFPR.Later on,we outline decision making with HFPRs from the following perspectives:1)Weights-deriving models,2)consistency measures and inconsistency-improving algorithms,3)group consensus-reaching models.Decision-making theories of different extended forms based on HFPRs and some applications of the relevant decision-making models are furtherly provided.The paper ends up with the prospects for future research on decision making with HFPRs.
作者
徐泽水
任珮嘉
XU Zeshui;REN Peijia(Business School,Sichuan University,Chengdu 610064,China;School of Business Administration,South China University of Technology,Guangzhou 510640,China)
出处
《系统工程理论与实践》
EI
CSSCI
CSCD
北大核心
2020年第8期2193-2202,共10页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(71771155,71571123)
中央高校基本科研业务费专项资金(2012017yjsy122)。
关键词
犹豫模糊偏好关系
权重导出模型
一致性测度
群体共识
决策模型
hesitant fuzzy preference relations
weights-deriving models
consistency measures
group consensus
decision-making models
