Minimum cost consensus model considering dual behavior preference

IF 4.1 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Yingying Liang , Jindong Qin , Witold Pedrycz
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引用次数: 0

Abstract

In actual consensus-reaching problems, decision makers (DMs) may exhibit non-unique behaviors originating from comparisons between themselves and expectations and reality, such as fairness concern and overconfidence behaviors, which may result in solution recommendation deviation when using the existing minimum cost consensus models (MCCMs). In order to handle consensus issues when DMs show fairness concern behavior, a behavior between DMs, the MCCM considering fairness concern (MCCM-FC) is established. Moreover, DMs may exhibit overconfidence regarding their own opinions, which is managed by the MCCM considering overconfidence (MCCM-O) to offset the actual difference between expectations and reality. To cope with the scenario that incorporates both behaviors simultaneously, the integrated fairness concern and overconfidence MCCM (MCCM-FC-O) is constructed and the relationships of the three MCCMs are discussed. The proposed models are justified through an illustrated application, and further sensitivity and comparative analyses are conducted to illustrate their practicability.
考虑双重行为偏好的最小成本共识模型
在实际的共识达成问题中,决策者可能会表现出源于自身与期望和现实比较的非唯一行为,如公平关注和过度自信行为,这些行为在使用现有的最小成本共识模型(minimum cost consensus models, mccm)时可能导致方案推荐偏差。为了处理dm之间表现出公平关注行为时的共识问题,建立了考虑公平关注的MCCM (MCCM- fc)。此外,dm可能对自己的意见表现出过度自信,这是由mcm考虑过度自信(mcm - o)来管理的,以抵消预期与现实之间的实际差异。为了应对两种行为同时存在的情境,构建了公平关注与过度自信的综合MCCM (MCCM- fc - o),并讨论了这三种MCCM之间的关系。通过实例验证了所提模型的正确性,并进行了进一步的灵敏度分析和对比分析,以说明所提模型的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Operations Research
Computers & Operations Research 工程技术-工程:工业
CiteScore
8.60
自引率
8.70%
发文量
292
审稿时长
8.5 months
期刊介绍: Operations research and computers meet in a large number of scientific fields, many of which are of vital current concern to our troubled society. These include, among others, ecology, transportation, safety, reliability, urban planning, economics, inventory control, investment strategy and logistics (including reverse logistics). Computers & Operations Research provides an international forum for the application of computers and operations research techniques to problems in these and related fields.
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