文献类型：期刊文献

英文题名：Multi-criteria group decision making with preference approval structures: A personalized individual semantics approach

作者：Liu, Hongbin[1];Xu, Zhuoyu[2];Jiang, Le[3];Zhu, Jianzhang[1]

第一作者：刘红彬

通讯作者：Liu, HB[1]

机构：[1]Henan Univ Econ & Law, Sch Math & Informat Sci, Zhengzhou 450046, Peoples R China;[2]Henan Univ Econ & Law, Sch Comp Sci & Informat Engn, Zhengzhou 450046, Peoples R China;[3]Zhengzhou Univ Light Ind, Dept Math & Informat Sci, Zhengzhou 450002, Peoples R China

第一机构：河南财经政法大学数学与信息科学学院

通讯机构：[1]corresponding author), Henan Univ Econ & Law, Sch 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：2023

卷号：96

起止页码：80-91

外文期刊名：INFORMATION FUSION

收录：;EI(收录号：20231213781018);Scopus(收录号：2-s2.0-85150472273);WOS:【SCI-EXPANDED(收录号:WOS:000959990400001)】；

基金：The authors would like to thank the editor and referees for their constructive comments, which greatly improved this paper. This work is supported by the Pre-Research Funds on National Key Projects of Henan University of Economics and Law (700990) and the Key Program of Higher Education of Henan Province (21B110001) .

语种：英文

外文关键词：Group decision making; Preference approval structure; Personalized individual semantics; Multi-criteria assessments

摘要：Some practical decision making problems need complex preferences. This study deals with a multi-criteria group decision making problem with preference approval structures (PASs). Each decision maker provides multi-criteria assessments in the form of linguistic distributions and a PAS of the alternatives. To ensure that the alternatives' scores computed from the multi-criteria assessments violate the ranking and approval information in the PAS to the least extent, an optimization model is constructed, and the minimum violation value is obtained. The maximum personalized individual semantics (PISs) and the minimum PISs of linguistic terms corresponding to the minimum violation value are obtained. By using the maximum and the minimum PISs of the linguistic terms, the ranking of the alternatives' scores is obtained. The approval information of the alternatives is obtained from an optimization model. Based on the ranking and approval information of the alternatives, two sequences of PASs corresponding to the maximum and the minimum PISs are obtained. An optimization model is proposed to fuse individual PASs into a collective PAS. A multi-criteria group decision making model is then proposed and applied in an example. Finally a comprehensive comparison analysis is presented to show the feasibility of the model.