Aggregation Operators to Evaluate the Relevance of Classes in a Fuzzy Partition

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Abstract

In this paper we propose a comparison process that allows evaluating the relevance of a class in a fuzzy partition. This process starts by forming a commutative group structure based on a fuzzy classification system. On this structure, proximity relations are proposed to establish the comparison process. As our proposal is based on a fuzzy classification system, i.e., recursive De Morgan triples, we study the properties that the operators of such triples must satisfy. Therefore, we propose the study of a property that we have called weakly self-dual.

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Castiblanco, F., Franco, C., Montero, J., & Tinguaro Rodríguez, J. (2019). Aggregation Operators to Evaluate the Relevance of Classes in a Fuzzy Partition. In Advances in Intelligent Systems and Computing (Vol. 1000, pp. 13–21). Springer Verlag. https://doi.org/10.1007/978-3-030-21920-8_2

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