research-article

Consensus-based non-cooperative behaviors management in large-group emergency decision-making considering experts’ trust relations and preference risks

Authors:

Xiaohong ChenAuthors Info & Claims

Volume 190, Issue C

https://doi.org/10.1016/j.knosys.2019.105108

Published: 29 February 2020 Publication History

Abstract

Consensus-based large-group emergency decision-making (LGEDM) is a dynamic and iterative process, in which some experts may show non-cooperative behaviors because they have different knowledge backgrounds and represent different stakeholders. Non-cooperative behaviors greatly affect the efficiency and results of decision-making. Time is of the essence in an emergency situation, and thus rational treatment of non-cooperative behaviors is required. In addition, in traditional group decision-making (GDM), the decision model is based on the premise that decision makers are independent. However, with the development of online social networks, the objective trust relationships between experts should be considered. Hence, this paper proposes a consensus model that considers the experts’ trust relations based on social network analysis and preference risks based on interval-valued intuitionistic fuzzy numbers. The trust risk, preference risk, and an approach for analyzing and managing non-cooperative behaviors are proposed. An illustrative example and a comparison are provided to verify the feasibility and effectiveness of the proposed method.

Highlights

•

A new consensus reaching framework based on SNA in LGEDM is proposed.

•

A novel mechanism for addressing non-cooperative behaviors is proposed.

•

The decision risk is considered, the trust risk and preference risk are proposed.

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Cited By

Shen SGong ZZhou BSłowiński R(2025)Empathic network learning for multi-expert emergency decision-making under incomplete and inconsistent informationInformation Fusion10.1016/j.inffus.2024.102844117:COnline publication date: 1-May-2025
https://dl.acm.org/doi/10.1016/j.inffus.2024.102844
Zhou MZhang YFan XWu TCheng BWu J(2025)A novel consensus reaching approach for large-scale multi-attribute emergency group decision-making under social network clustering based on graph attention mechanismApplied Intelligence10.1007/s10489-024-05992-z55:6Online publication date: 1-Apr-2025
https://dl.acm.org/doi/10.1007/s10489-024-05992-z
Xiong KDong YZha Q(2024)Managing Strategic Manipulation Behaviors Based on Historical Data of Preferences and Trust Relationships in Large-Scale Group Decision-MakingIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2023.332800932:3(1479-1493)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1109/TFUZZ.2023.3328009
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Consensus-based non-cooperative behaviors management in large-group emergency decision-making considering experts’ trust relations and preference risks

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Published In

cover image Knowledge-Based Systems

Knowledge-Based Systems Volume 190, Issue C

Feb 2020

383 pages

ISSN:0950-7051

Issue’s Table of Contents

Elsevier B.V.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 29 February 2020

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Cited By

Shen SGong ZZhou BSłowiński R(2025)Empathic network learning for multi-expert emergency decision-making under incomplete and inconsistent informationInformation Fusion10.1016/j.inffus.2024.102844117:COnline publication date: 1-May-2025
https://dl.acm.org/doi/10.1016/j.inffus.2024.102844
Zhou MZhang YFan XWu TCheng BWu J(2025)A novel consensus reaching approach for large-scale multi-attribute emergency group decision-making under social network clustering based on graph attention mechanismApplied Intelligence10.1007/s10489-024-05992-z55:6Online publication date: 1-Apr-2025
https://dl.acm.org/doi/10.1007/s10489-024-05992-z
Xiong KDong YZha Q(2024)Managing Strategic Manipulation Behaviors Based on Historical Data of Preferences and Trust Relationships in Large-Scale Group Decision-MakingIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2023.332800932:3(1479-1493)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1109/TFUZZ.2023.3328009
Wan SDong JZhang Z(2024)Two-stage consensus reaching process in social network large group decision-making with application to battery supplier selectionInformation Sciences: an International Journal10.1016/j.ins.2024.120526668:COnline publication date: 9-Jul-2024
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Tan XZhu JWei GTong H(2024)The dual interactions-driven consensus modelInformation Fusion10.1016/j.inffus.2023.102212105:COnline publication date: 1-May-2024
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Tan JWang YChu J(2024)A consensus method in social network large-scale group decision making with interval informationExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.121560237:PCOnline publication date: 1-Mar-2024
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Xiao JCai MGong ZWei GGao Y(2024)Classification-based consensus model considering quantum interference in linguistic distribution environmentComputers and Industrial Engineering10.1016/j.cie.2024.110658198:COnline publication date: 1-Dec-2024
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