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

被引：6
作者：
Ma Zhenzhen [1 ]
Ponnambalam, Kumaraswamy [2 ]
Zhu Jianjun [1 ]
Zhang Shitao [3 ,4 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 211106, Jiangsu, Peoples R China
[2] Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada
[3] Anhui Univ Technol, Sch Math & Phys Sci, Maanshan 243002, Peoples R China
[4] Anhui Univ Technol, Engn, Maanshan 243002, Peoples R China
来源：
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2018年 / 29卷 / 05期
基金：
中国国家自然科学基金;
关键词：
dynamic decision-making; hesitant fuzzy linguistic term sets (HFLTSs); proportional linguistic terms; group similarity; degree of certainty; RELATIONAL ANALYSIS; MODEL; INFORMATION; SETS;
D O I：
10.21629/JSEE.2018.05.12
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A dynamic hesitant fuzzy linguistic group decision-making (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.
引用
收藏
页码：1009 / 1021
页数：13
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