Consensus in Preference-Based Conflict Situations

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Rafał Deja, Małgorzata Przybyła-Kasperek
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引用次数: 0

Abstract

This article follows a preference-based conflict situations model that extends the rough set approach to agents' preferences on issues gathered via pair-wise comparisons. The study focuses on defining and examining various types of consensus within this model, addressing strict and more relaxed disagreements. The consensus problem is then explored at the coalition level. The key properties and quantitative measures for evaluating consensus quality are discussed. Finally, the negotiation process is investigated. The first approach is based on the expanding range of preferences derived from different definitions of consensus, and the second is focusing on issues position adjustment in order-based conflict situation. Using examples, including a medical case with multiple specialists, the paper demonstrates the practical utility of the methods. In general, this work improves the understanding of preference-based conflicts and the possibility of consensus, contributing to more effective decision-making processes.

基于偏好的冲突情境中的共识
本文遵循基于偏好的冲突情境模型,该模型将粗糙集方法扩展到代理对通过成对比较收集的问题的偏好。该研究的重点是在该模型中定义和检查各种类型的共识,解决严格和更宽松的分歧。然后在联盟层面探讨共识问题。讨论了共识质量评价的关键性质和定量指标。最后,对谈判过程进行了研究。第一种方法基于对共识的不同定义所产生的不断扩大的偏好范围,第二种方法侧重于基于秩序的冲突局势中的立场调整问题。通过实例,包括一个有多位专家的医疗案例,本文演示了这些方法的实际效用。总的来说,这项工作提高了对基于偏好的冲突的理解和达成共识的可能性,有助于更有效的决策过程。
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
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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