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Permutability of Fuzzy Consequence Operators Induced by Fuzzy Relations

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8234))

Abstract

In this paper we study the permutability of the composition of fuzzy consequence operators when they are induced by fuzzy relations using the usual Zadeh’s compositional rule. In particular, we study the case of fuzzy indistinguishability operators and fuzzy preorders. We study the connection between the permutability of the fuzzy relations and the permutability of their induced fuzzy operators.

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Carmona, N., Elorza, J., Recasens, J., Bragard, J. (2013). Permutability of Fuzzy Consequence Operators Induced by Fuzzy Relations. In: Torra, V., Narukawa, Y., Navarro-Arribas, G., Megías, D. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2013. Lecture Notes in Computer Science(), vol 8234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41550-0_21

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  • DOI: https://doi.org/10.1007/978-3-642-41550-0_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41549-4

  • Online ISBN: 978-3-642-41550-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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