Dynamic interactive robust consensus reaching framework for maximum experts considering uncertain cost and adjustment strategy

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成果类型：

期刊论文

作者：

Wei, Jinpeng;Xu, Xuanhua;Wangb, Qiuhan;Xu, Xiaoxia;Zhao, Chengwei;...

通讯作者：

Xu, XH

作者机构：

[Wei, Jinpeng; Xu, Xuanhua; Xu, XH] Cent South Univ, Business Sch, Changsha 410083, Peoples R China.

[Wangb, Qiuhan] Jiangnan Univ, Sch Business, Wuxi 214026, Peoples R China.

[Xu, Xiaoxia; Cabrerizo, Francisco Javier] Nanjing Univ Informat Sci & Technol, Sch Management Sci & Engn, Nanjing 210044, Peoples R China.

[Zhao, Chengwei] Cent South Univ Forestry & Technol, Business Sch, Changsha 410004, Peoples R China.

[Cabrerizo, Francisco Javier] Univ Granada, Andalusian Res Inst Data Sci & Computat Intellige, Dept Comp Sci & Artificial Intelligence, DaSCI, E-18071 Granada, Spain.

通讯机构：

[Xu, XH ] C

Cent South Univ, Business Sch, Changsha 410083, Peoples R China.

语种：

英文

关键词：

Group decisions and negotiations;Dynamic consensus-reaching;Uncertain costs;Adjustment strategy;Robust optimization;Group decisions and negotiations;Dynamic consensus-reaching;Uncertain costs;Adjustment strategy;Robust optimization

期刊：

Expert Systems with Applications

ISSN：

0957-4174

年：

2025

卷：

289

页码：

128291

DOI：

10.1016/j.eswa.2025.128291

基金类别：

National Natural Science Foundation of China Major Project [72293574, 72091515]; National Natural Science Foundation of China [72301298]; Hunan Provincial Natural Science Foundation Project [2024JJ6723]; Central South University Graduate Research Innovation Project [1053320240376, PID2022-139297OB-I00, MICIU/AEI/10.13039/501100011033]; MICIU/AEI [PID2022-139297OB-I00]; ERDF/EU; National Natural Science Foundation of China Major Project; National Natural Science Foundation of China; Hunan Provincial Natural Science Foundation Project; Central South University Graduate Research Innovation Project; ERDF/EU

机构署名：

本校为其他机构

院系归属：

商学院

摘要：

Consensus optimization models often struggle to coordinate continuous updates of expert opinions and costs, easily falling into the illusion of temporary consensus. Moreover, accurately estimating the extent of opinion adjustments and unit adjustment costs is challenging, posing obstacles to reaching consensus. Based on the maximum expert consensus model (MECM), this study introduces a dynamic interactive robust consensus-reaching framework that considers uncertain costs and adjustment strategies. First, we construct three uncertainty sets to describe uncertain costs, which are then used to de...

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Dynamic interactive robust consensus reaching framework for maximum experts considering uncertain cost and adjustment strategy

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