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Communication Dans Un Congrès Année : 2020

A measurement theory characterization of a class of dissimilarity measures for fuzzy description profiles

Résumé

We consider objects associated with a fuzzy set-based representation. By using a classic method of measurement theory, we characterize dissimilarity relations agreeing with a particular class of fuzzy dissimilarity measures. Dissimilarity measures in the considered class are those only depending on the attribute-wise distance of fuzzy description profiles. In particular, we analyze the subclass of weighted Manhattan dissimilarity measures.

Dates et versions

hal-02953941 , version 1 (30-09-2020)

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Giulianella Coletti, Davide Petturiti, Bernadette Bouchon-Meunier. A measurement theory characterization of a class of dissimilarity measures for fuzzy description profiles. 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'2020), Jun 2020, Lisbon, Portugal. pp.258-268, ⟨10.1007/978-3-030-50143-3_20⟩. ⟨hal-02953941⟩
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