Dual strategies consensus reaching process for ranking consensus based probabilistic linguistic multi-criteria group decision-making method

被引:8
作者
Wan, Shu-Ping [1 ]
Zou, Wen-Chang [2 ]
Dong, Jiu-Ying [3 ]
机构
[1] Shanghai Univ Engn Sci, Sch Management, Shanghai 201620, Peoples R China
[2] East China Jiaotong Univ, Sch Econ & Management, Nanchang 330013, Peoples R China
[3] Shanghai Inst Technol, Sch Sci, Shanghai 201418, Peoples R China
关键词
Consensus reaching process; Multi-criteria group decision-making; Social network analysis; Probabilistic linguistic term set; SOCIAL NETWORK ANALYSIS; MINIMUM ADJUSTMENT; TERM SETS; FEEDBACK MECHANISM; MODEL; COST; THRESHOLD;
D O I
10.1016/j.eswa.2024.125342
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Group consensus is critical in multi-criteria group decision-making (MCGDM). However, the extant consensus reaching process (CRP) methods focus on the consensus on the decision matrices rather than the rankings of alternatives. This paper proposes the dual strategies CRP for ranking consensus based probabilistic linguistic MCGDM. According to the decision matrices provided by decision makers (DMs), the rankings of alternatives are generated. Then, we define ranking similarity degree based on the individual alternative rankings and opinion similarity degree based on the decision matrices, respectively. Based on the ranking similarity degrees, the group consensus index (GCI) is defined and the dual strategies CRP method is proposed. In the proposed CRP method, the first strategy pays attention to DMs with low ranking similarity degree but high opinion similarity degree, while the second strategy in CRP concentrates on DMs with low ranking similarity degree and low opinion similarity degree. The first strategy constructs minimum adjustment programming model while the second strategy directly provide adjustment advice according to the reference evaluation. These two strategies both aim to change the rankings of alternatives by adjusting the evaluations in the decision matrices. At length, an actual example is presented to demonstrate the effectiveness of the erected method and comparison analyses clarify its advantages and superiorities.
引用
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页数:17
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