Consensus mechanism with maximum-return modifications and minimum-cost feedback: A perspective of game theory

被引:147
作者
Zhang, Bowen [1 ,2 ]
Dong, Yucheng [3 ,4 ]
Zhang, Hengjie [3 ,4 ,5 ]
Pedrycz, Witold [2 ,6 ]
机构
[1] Xidian Univ, Sch Econ & Management, Xian 710071, Peoples R China
[2] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6R 2G7, Canada
[3] Sichuan Univ, Ctr Network Big Data, Chengdu 610065, Peoples R China
[4] Sichuan Univ, Decis Making Business Sch, Chengdu 610065, Peoples R China
[5] Hohai Univ, Business Sch, Nanjing 211100, Peoples R China
[6] Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland
基金
加拿大自然科学与工程研究理事会; 中国国家自然科学基金;
关键词
Group decisions and negotiations; Consensus mechanism; Compensation strategy; Stackelberg game; Differential evolution; GROUP DECISION-MAKING; DIFFERENTIAL EVOLUTION; MODELS; ADJUSTMENT; RULES; AHP;
D O I
10.1016/j.ejor.2020.04.014
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In group decision making, the interaction behaviors between the moderator and decision makers play a critical role in a consensus process. In this study, based on the essential architecture of Stackelberg game, we present a bi-level optimization model to describe the interaction behaviors between decision makers and moderator, and develop the consensus mechanism with maximum-return modifications and minimum-cost feedback (MRMCCM). In the MRMCCM, the moderator aims to guide decision makers to reach consensus with minimum cost, while decision makers modify their own opinions based on the maximization of individual return. We analyze the equilibrium strategy in the MRMCCM, including the modification and compensation strategies composed of the optimal suggested opinion and unit consensus cost. In addition, an adaptive differential evolution is presented to deal with the bi-level optimization model, and the detailed experimental studies are conducted to justify the performance of the MRMCCM. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页码:546 / 559
页数:14
相关论文
共 56 条
[1]  
[Anonymous], 1951, Social Choice and Individual Values
[2]   SOME PROPERTIES OF THE BILEVEL PROGRAMMING PROBLEM [J].
BARD, JF .
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 1991, 68 (02) :371-378
[3]   Multi-criteria group consensus under linear cost opinion elasticity [J].
Ben-Arieh, D. ;
Easton, T. .
DECISION SUPPORT SYSTEMS, 2007, 43 (03) :713-721
[4]   Minimum Cost Consensus With Quadratic Cost Functions [J].
Ben-Arieh, David ;
Easton, Todd ;
Evans, Brandon .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2009, 39 (01) :210-217
[5]   COMPUTATIONAL DIFFICULTIES OF BILEVEL LINEAR-PROGRAMMING [J].
BENAYED, O ;
BLAIR, CE .
OPERATIONS RESEARCH, 1990, 38 (03) :556-560
[6]   Managing the consensus in group decision making in an unbalanced fuzzy linguistic context with incomplete information [J].
Cabrerizo, F. J. ;
Perez, I. J. ;
Herrera-Viedma, E. .
KNOWLEDGE-BASED SYSTEMS, 2010, 23 (02) :169-181
[7]   Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks [J].
Cabrerizo, F. J. ;
Moreno, J. M. ;
Perez, I. J. ;
Herrera-Viedma, E. .
SOFT COMPUTING, 2010, 14 (05) :451-463
[8]   The fusion process with heterogeneous preference structures in group decision making: A survey [J].
Chen, Xia ;
Zhang, Hengjie ;
Dong, Yucheng .
INFORMATION FUSION, 2015, 24 :72-83
[9]   Modeling the minimum cost consensus problem in an asymmetric costs context [J].
Cheng, Dong ;
Zhou, Zhili ;
Cheng, Faxin ;
Zhou, Yanfang ;
Xie, Yujing .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2018, 270 (03) :1122-1137
[10]   Some induced ordered weighted averaging operators and their use for solving group decision-making problems based on fuzzy preference relations [J].
Chiclana, F. ;
Herrera-Viedma, E. ;
Herrera, F. ;
Alonso, S. .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 182 (01) :383-399