An attitudinal consensus degree to control the feedback mechanism in group decision making with different adjustment cost

被引:107
作者
Wu, Jian [1 ]
Sun, Qi [1 ]
Fujita, Hamido [2 ]
Chiclana, Francisco [3 ,4 ]
机构
[1] Shanghai Maritime Univ, Sch Econ & Management, Shanghai, Peoples R China
[2] Iwate Prefectural Univ, Takizawa, Iwate, Japan
[3] De Montfort Univ, Fac Comp Engn & Media, Inst Artificial Intelligence, Leicester, Leics, England
[4] Univ Granada, Dept Comp Sci & Artificial Intelligence, Granada, Spain
基金
上海市自然科学基金; 中国国家自然科学基金;
关键词
Group decision making; Consensus; Attitude; Adjustment cost; SOCIAL NETWORK; MINIMUM; MODELS; AGGREGATION; INFORMATION;
D O I
10.1016/j.knosys.2018.10.042
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article aims to study the influence of the group attitude on the consensus reaching process in group decision making (GDM). To do that, the attitudinal consensus index (ACI) is defined to aggregate individual consensus levels to form a collective one. This approach allows for the implementation of the group attitude in a continuous state ranging from a pessimistic attitude to an optimistic attitude. Then, ACI is used to build a stop policy to control feedback for consensus, which can be regarded as a generation of the traditional polices: 'minimum disagreement policy' and 'indifferent disagreement policy'. A sensitivity analysis method with visual simulation is proposed to check the adjustment cost and consensus level with different attitudinal parameters. The main conclusion from this analysis is that the bigger the attitudinal parameter implemented is, the bigger the adjustment cost and consensus level are. The visual information facilitates the inconsistent expert keeping a balance between the attitudinal parameter to implement and the adjustment cost and consensus level, which in practice translates into full control of such implementation based on the decision maker's willingness. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:265 / 273
页数:9
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