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A new PROMETHEE-based approach applied within a framework for conflict analysis in Evidence Theory integrating three conflict measures

机译:一种新的基于PROMETHEE的方法,在证据理论的冲突分析框架内应用,整合了三种冲突度量

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摘要

This article seeks to expand how conflict is classified in Evidence Theory, which is also known as Dempster-Shafer Theory (DST). Therefore, alternatives for classifying conflict under DST are discussed and a new approach is proposed based on the PROMETHEE method. To illustrate the use of this approach proposed, a numerical example from the literature on this topic is considered. The results obtained by comparing this proposal and the approach suggested in the literature indicate consistency in the classification. Thus, this novel approach enables the analysis of conflict in DST to be broadened to include decision-makers (DMs) who are more familiar with the structure of the PROMETHEE method. This method includes several intra-criteria preference functions and considers different thresholds within the scale. In addition to a new approach for classifying conflict under DST, this article proposes an adaptation to the disaggregation model based on linear programming in the literature, from which the parameters of the model can be generated using examples of conflict defined by the DM. The approach proposed uses this aggregated information from the DM and disaggregates it in order to define the parameters of the model, and results in a multicriteria analysis of conflict in Evidence Theory. (C) 2018 Elsevier Ltd. All rights reserved.
机译:本文旨在扩展如何在证据理论中对冲突进行分类,该理论也称为Dempster-Shafer理论(DST)。因此,讨论了DST下冲突分类的替代方法,并提出了一种基于PROMETHEE方法的新方法。为了说明所建议的方法的使用,考虑了有关该主题的文献中的一个数值示例。通过比较该提议和文献中建议的方法获得的结果表明分类的一致性。因此,这种新颖的方法可以将DST中的冲突分析扩大到包括更熟悉PROMETHEE方法结构的决策者(DM)。该方法包括多个标准内偏好功能,并考虑了量表内的不同阈值。除了在DST下对冲突进行分类的新方法之外,本文还提出了对文献中基于线性规划的分解模型的一种改进,可以使用DM定义的冲突示例从中生成模型的参数。提出的方法使用了来自DM的汇总信息并将其分解以定义模型的参数,并导致证据理论中冲突的多准则分析。 (C)2018 Elsevier Ltd.保留所有权利。

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