Dynamic hesitant fuzzy linguistic group decision-making from a reliability perspective  

作　　者：MA Zhenzhen PONNAMBALAM Kumaraswamy ZHU Jianjun ZHANG Shitao 

机构地区：[1]College of Economics and Management, Nanjing University of Aeronautics and Astronautics [2]Department of Systems Design Engineering, University of Waterloo [3]School of Mathematics & Physics Science and Engineering, Anhui University of Technology

出　　处：《Journal of Systems Engineering and Electronics》2018年第5期1009-1021,共13页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(71171112; 71502073; 71601002);the Scientific Innovation Research of College Graduates in Jiangsu Province(KYZZ150094);the Anhui Provincial Natural Science Foundation(1708085MG168)

摘　　要：A dynamic hesitant fuzzy linguistic group decisionmaking(DHFLGDM) problem is studied from the perspective of information reliability based on the theory of hesitant fuzzy linguistic term sets(HFLTSs). First, an approach is applied to transform the dynamic HFLTSs(DHFLTSs) into a set of proportional linguistic terms to eliminate the time dimension. Second, expert reliability is measured by considering both group similarity and degree of certainty, and an optimization method is employed to quantify the linguistic terms by maximizing the group similarity. Third, through computing the attribute stability as well as its reliability, a combination rule which considers both reliability and weight is proposed to aggregate the information, and then the aggregated grade values and degree of stability are used to make a selection. Finally,the application and feasibility of the proposed method are verified through a case study and method comparison.A dynamic hesitant fuzzy linguistic group decisionmaking(DHFLGDM) problem is studied from the perspective of information reliability based on the theory of hesitant fuzzy linguistic term sets(HFLTSs). First, an approach is applied to transform the dynamic HFLTSs(DHFLTSs) into a set of proportional linguistic terms to eliminate the time dimension. Second, expert reliability is measured by considering both group similarity and degree of certainty, and an optimization method is employed to quantify the linguistic terms by maximizing the group similarity. Third, through computing the attribute stability as well as its reliability, a combination rule which considers both reliability and weight is proposed to aggregate the information, and then the aggregated grade values and degree of stability are used to make a selection. Finally,the application and feasibility of the proposed method are verified through a case study and method comparison.

关 键 词：dynamic decision-making hesitant fuzzy linguistic term sets(HFLTSs) proportional linguistic terms group similarity degree of certainty 

分 类 号：N945[自然科学总论—系统科学]