文献类型：期刊文献

英文题名：Deriving the personalized individual semantics of linguistic information from flexible linguistic preference relations

作者：Jiang, Le[1];Liu, Hongbin[2];Ma, Yue[3];Li, Yongfeng[1]

第一作者：Jiang, Le

通讯作者：Liu, HB[1]

机构：[1]Zhengzhou Univ Light Ind, Dept Math & Informat Sci, Zhengzhou 450002, Peoples R China;[2]Henan Univ Econ & Law, Dept Math & Informat Sci, Zhengzhou 450046, Peoples R China;[3]North China Univ Water Resources & Elect Power, Sch Math & Stat, Zhengzhou 450046, Henan, Peoples R China

第一机构：Zhengzhou Univ Light Ind, Dept Math & Informat Sci, Zhengzhou 450002, Peoples R China

通讯机构：[1]corresponding author), Henan Univ Econ & Law, Dept Math & Informat Sci, Zhengzhou 450046, Peoples R China.|[1048425]河南财经政法大学数学与信息科学学院;[10484]河南财经政法大学;

年份：2022

卷号：81

起止页码：154-170

外文期刊名：INFORMATION FUSION

收录：;EI(收录号：20215111370687);Scopus(收录号：2-s2.0-85121434726);WOS:【SCI-EXPANDED(收录号:WOS:000735294100011)】；

基金：This work is supported by the Pre-Research Funds on National Key Projects of Henan University of Economics and Law (700990); the Scientific and Technological Innovative Talents of Henan Province (20HASTIT024); the National Natural Science Foundation of China (62073122); the Key Program of Higher Education of Henan Province (19A110036); Science and Technology Key Plan Project of Henan Province (202102310631).

语种：英文

外文关键词：Group decision making; Flexible linguistic expression; Personalized individual semantics; Linguistic distribution

摘要：In group decision making, flexible linguistic preference relations (FLPRs) are very useful with the pairwise comparisons taking the form of flexible linguistic expressions (FLEs). Due to the fact that different decision makers have different understandings of words, this paper investigates the personalized individual semantics (PISs) of the linguistic information in FLPRs. Two optimization models are constructed to compute a linguistic distribution which is closest to an incomplete FLE. The FLPRs are transformed into fuzzy preference relations by using optimization models which maximize consistency and consensus of the fuzzy preference relations. The PISs of linguistic terms and subsets of the linguistic term set are obtained in this process. A group decision making model based on FLPRs is presented and a green supplier selection problem in automotive industry is solved by using the proposed model. The comparative analysis is presented to show the feasibility of the group decision making model.