A multi-objective grey hierarchical group consensus model and its application

被引:3
|
作者
Gu, Sheng-qiang [1 ]
Liu, Yong [2 ]
Diao, Weixue [2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Nanjing, Peoples R China
[2] Jiangnan Univ, Business Sch, Wuxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Grey group consensus decision-making; Minimum cost consensus; Social hierarchical relationship; GROUP DECISION-MAKING; REACHING PROCESS; MINIMUM-COST; PREFERENCES; ASSESSMENTS;
D O I
10.1108/GS-09-2022-0095
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
PurposeThe paper attempts to construct a novel multi-objective grey hierarchical group consensus approach to deal with the group consensus problems consisting of hierarchical relationship and non-cooperative behaviors among decision makers (DMs).Design/methodology/approachTo deal with these group consensus problems consisting of hierarchical relationship and non-cooperative behaviors among DMs non-cooperative behavior in uncertain information systems, considering the influence of coordination cost and the degree of group consensus, based on the idea of grey situation decision-making, the authors establish a multi-objective grey hierarchical group consensus model, and design different invalid decision elimination rules for decision-making groups of different sizes, and use a case verifies the effectiveness and feasibility of the model.FindingsWith the continuous improvement of the coordination cost budget, the degree of consensus of all departments and the overall consensus tend to be stable, and will no longer change with the increase of the coordination cost budget. The cost required by each department is basically consistent with the response trend of the cost required to coordinate the overall situation to the pre-set lower limit of group consensus.Originality/valueThe proposed approach can succeed in identifying DMs' information, and mine the DMs' information and help make a relatively more scientific decision.
引用
收藏
页码:427 / 444
页数:18
相关论文
共 50 条
  • [31] The Multi-Objective Decision-Making Model Based On Grey Correlation Degree
    Yang, Zhijun
    PROCEEDINGS OF 2013 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES (GSIS), 2013, : 26 - 28
  • [32] Grey Wolf Algorithm and Multi-Objective Model for the Manycast RSA Problem in EONs
    Xuan, Hejun
    Lin, Lidan
    Qiao, Lanlan
    Zhou, Yang
    INFORMATION, 2019, 10 (12)
  • [33] A Consensus Algorithm for Multi-Objective Battery Balancing
    Barreras, Jorge Varela
    de Castro, Ricardo
    Wan, Yihao
    Dragicevic, Tomislav
    ENERGIES, 2021, 14 (14)
  • [34] An improved genetic algorithm in multi-objective optimization and its application
    Zhao, Liang
    Ju, Gang
    Lu, Jian-Hong
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2008, 28 (02): : 96 - 102
  • [35] Multi-objective differential evolution and its application to enterprise planning
    Xue, F
    Sanderson, AC
    Graves, RJ
    2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS, 2003, : 3535 - 3541
  • [36] A dominance tree and its application in evolutionary multi-objective optimization
    Shi, Chuan
    Yan, Zhenyu
    Lue, Kevin
    Shi, Zhongzhi
    Wang, Bai
    INFORMATION SCIENCES, 2009, 179 (20) : 3540 - 3560
  • [37] Multi-objective Evolutionary Algorithm Based on Correlativity and Its Application
    Li, Junfeng
    Dai, Wenzhan
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 7481 - 7486
  • [38] Multi-objective optimization method based on grey difference degree and application in pumping unit
    Li, BS
    Zhang, L
    Chen, YB
    APPLICATIONS OF DIGITAL TECHNIQUES IN INDUSTRIAL DESIGN ENGINEERING-CAID&CD' 2005, 2005, : 338 - 342
  • [39] The application of multi-objective grey analysis method in appraisal bid of electric power construction
    Wang, T
    Wang, HQ
    Gu, ZH
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1 AND 2: INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT IN THE GLOBAL ECONOMY, 2005, : 396 - 398
  • [40] Multi-objective optimization modeling and application of grey-green coupling stormwater system
    Li J.
    Li Y.
    Hu Z.
    Water Resources Protection, 2022, 38 (06): : 49 - 55and80