Abstract In this paper, we introduce a method for resolving decision problems concerning multiple criteria in relation to a finite set of decision alternatives. This approach makes use of paraconsistent logic, Pavelka style fuzzy logic and many-valued similarity. To demonstrate the robustness of the method, two data sets, one on the performance of five mobile phone operators in Ghana and the other, a numerical example have been analysed and the rankings compared correspondingly with those of three existing dominant Multi-Attribute Decision Making (MADM) approaches, namely Elimination and Choice Translating Reality II (ELECTRE II); Preference Ranking Organisation MeTHod for Enrichment Evaluation (PROMETHEE I and II) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Apart from providing a ranking that is similar to these three famous outranking methods, the novel approach has the edge over them due to its ability to relatively handle large size decision problems - decision problems with numerous criteria and alternatives - without much difficulty.

中文翻译：

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一种用于多属性决策的超一致多值相似性方法

摘要 在本文中，我们介绍了一种解决决策问题的方法，该方法涉及与有限决策备选集相关的多准则。这种方法利用了准一致性逻辑、Pavelka 风格的模糊逻辑和多值相似性。为了证明该方法的鲁棒性，我们使用了两个数据集，一个是加纳五家手机运营商的表现，另一个是一个数值例子，并将排名与现有的三个占主导地位的多属性决策（ MADM）方法，即消除和选择翻译现实II（ELECTRE II）；用于浓缩评估的偏好排名组织方法（PROMETHEE I 和 II）和通过与理想解决方案的相似性进行排序偏好的技术（TOPSIS）。