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Conference Papers Year : 2023

Adding Semantics to Fuzzy Similarity Measures through the d-Choquet Integral

Abstract

This paper introduces three classes of similarity measures for fuzzy description profiles, defined through the d-Choquet integral. Such classes of similarity measures are parameterized by the choice of a capacity and a restricted dissimilarity function, and generalize the classical Jaccard index for binary profiles. Semantics is added to such similarity measures on three different levels: (i) how common and different parts of profiles are aggregated (via the choice of the similarity functional form); (ii) how interactions among attributes are weighted (via the choice of the capacity); (iii) how pointwise dissimilarities are evaluated (via the choice of the restricted dissimilarity function).
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Dates and versions

hal-04257111 , version 1 (24-10-2023)

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  • HAL Id : hal-04257111 , version 1

Cite

Christophe Marsala, Davide Petturiti, Barbara Vantaggi. Adding Semantics to Fuzzy Similarity Measures through the d-Choquet Integral. ECSQARU 2023, the 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Zied Bouraoui; Said Jabbour; Srdjan Vesic, Sep 2023, Arras, France. ⟨hal-04257111⟩
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