Multi-attribute group decision making method under 2-dimension uncertain linguistic variables

作     者：JIANG Kexin ZHANG Quan YAN Manting JIANG Kexin;ZHANG Quan;YAN Manting

作者机构：School of Information Science and EngineeringShenyang University of TechnologyShenyang 110870China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2020年第31卷第6期

页      面：1254-1261页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 070105[理学-运筹学与控制论] 0701[理学-数学] 

基　　金：This work was supported by the Natural Science Foundation of Liaoning Province(2013020022) 

主　　题：2-dimension uncertain linguistic variables(2DULVs) multi-attribute group decision making problem score function distance formula 

摘      要：A method is proposed to deal with the uncertain multiple attribute group decision making problems,where 2-dimension uncertain linguistic variables(2DULVs)are used as the reliable way for the experts to express their fuzzy subjective evaluation ***,in order to measure the 2DULVs more accurately,a new method is proposed to compare two 2DULVs,called a score function,while a new function is defined to measure the distance between two ***,two optimization models are established to determine the weight of experts and attributes based on the new distance formula and a weighted average operator is used to determine the comprehensive evaluation value of each ***,a score function is used to determine the ranking of the ***,the effectiveness of the proposed method is proved by an illustrated example.