Abstract
Fuzzy equality relations or indistinguishability operators generalize the concepts of crisp equality and equivalence relations in fuzzy systems where inaccuracy and uncertainty is dealt with. They generate fuzzy granularity and are an essential tool in Computing with Words (CWW). Traditionally, the degree of similarity between two objects is a number between 0 and 1, but in many occasions this assignment cannot be done in such a precise way and the use of indistinguishability operators valued on a finite set of linguistic labels such as small, very much,... would be advisable. Recent advances in the study of finitely valued t-norms allow us to combine this kind of linguistic labels and makes the development of a theory of finitely valued indistinguishability operators and their application to real problems possible.
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Mayor, G., Recasens, J. (2010). Finitely Valued Indistinguishability Operators. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Computational Intelligence for Knowledge-Based Systems Design. IPMU 2010. Lecture Notes in Computer Science(), vol 6178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14049-5_5
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DOI: https://doi.org/10.1007/978-3-642-14049-5_5
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