A Consensus Reaching Process with Minimum Adjustment in Group Decision Making with Two-dimensional 2-tuple Linguistic Information based on Reliability Measurement

被引:0
作者
Wang, Zelin [1 ,2 ]
Rodriauez, Rosa M. [2 ]
Wang, Ying-Ming [1 ]
Martinez, Luis [2 ]
机构
[1] Fuzhou Univ, Decis Sci Inst, Fuzhou, Peoples R China
[2] Univ Jaen, Dept Comp Sci, Jaen, Spain
来源
IEEE CIS INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS 2021 (FUZZ-IEEE) | 2021年
关键词
consensus reaching process; minimum adjustment; group decision making; reliability degree; tolerance degree; two-dimensional; 2-tuple; FUZZY; MODEL;
D O I
10.1109/FUZZ45933.2021.9494397
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper designs a consensus reaching process (CRP) with minimum adjustment considering that decision makers (DMs) have a tolerance for changing their preferences, which means DMs only accept the adjustment if such adjustment fall within their tolerance interval. In addition, two consensus rules are considered: minimum distance between original and adjusted preferences, and minimum number of adjusted preferences. Unlike to classical CRP, our proposal includes a reliability detection of adjusted preferences, in order to avoid biased solutions because of the inherent subjectivity of group decision-making problems. To obtain the agreed adjusted opinions and their reliability, the two-dimensional 2-tuple linguistic (TD2L) information is used in which, the first dimension of a TD2L is 2-tuple linguistic value that assess the adjusted preference and, the second dimension information is another 2-tuple linguistic value assessing the reliability degree of the adjusted preferences, which is derived according to similarity between adjusted and original preferences. Then a novel comparison method for TD2Ls is developed. Finally, an illustrative example is given to verify the proposed method and the results show that the approach is feasible and effective.
引用
收藏
页数:6
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