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Compositions of invariant fuzzy implications

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Abstract

We examine sup-min compositions in a finite family of fuzzy implications. Since the composition of invariant fuzzy implications is an invariant function, then we get a kind of `multiplication table' for such implications. A multistage proof of such table is presented. As a result we obtain examples of finite semigroups of fuzzy implications.

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References

  1. Baczyński M, Drewniak J (1999) Conjugacy classes of fuzzy implications. In: Reusch B (ed), Computational intelligence: theory and applications. Lecture notes computer science, vol 1625. Springer Heidelberg New York, Berlin, pp 287–298

  2. Baczyński M, Drewniak J (2000) Monotonic fuzzy implications. In: Szczepaniak PS, Lisboa PJG, Kacprzyk J (eds) Fuzzy systems in medicine, studies in fuzziness and soft computing, vol 41. Physica-Verlag, Heidelberg, pp 90–111

  3. Baczyński M, Drewniak J, Sobera J (2001) Semigroup of fuzzy implications. Tatra Mt Math Publ 21:61–71

    Google Scholar 

  4. Baldwin JF, Pilsworth BW (1980) Axiomatic approach to implication for approximate reasoning with fuzzy logic. Fuzzy Sets Syst 3:193–219

    Google Scholar 

  5. Cordón O, Herrera F, Peregrin A (1997) Applicability of the fuzzy operators in the design of fuzzy logic controllers. Fuzzy Sets Syst 86:15–41

    Google Scholar 

  6. Drewniak J (2005) Invariant fuzzy implications. Soft Comput (DOI: 10.1007/s00500-005-0526-4)

  7. Drewniak J, Sobera J (2000) Compositions of selfconjugate fuzzy implications. Abstracts FSTA 2000, Liptovský Ján, Slovakia, pp 82–84

  8. Dubois D, Prade H (1991) Fuzzy sets in approximate reasoning. Part 1: inference with possibility distributions. Fuzzy Sets Syst 40:143–202

    Google Scholar 

  9. Fodor J, Roubens M (1994) Fuzzy preference modelling and multicriteria decision support. Kluwer, Dordrecht

  10. Goguen JA (1967) L fuzzy sets. J Math Anal Appl 18:145–174

    Google Scholar 

  11. Gottwald S (2001) A treatise on many-valued logics. Studies in logic and computation, vol 9. Research Studies Press, Baldock

  12. Klement EP, Navara M (1999) A survey on different triangular norm-based fuzzy logics. Fuzzy Sets Syst 101:241–251

    Google Scholar 

  13. Kiszka JB, Kochańska ME, Śliwińska DS (1985) The influence of some fuzzy implication operators on the accuracy of a fuzzy model. Fuzzy Sets Syst 15:111–128, 223–240

    Google Scholar 

  14. Trillas E, Valverde L (1982) On some functionally expressable implications for fuzzy set theory. In: Proceedings of the 3rd International Seminar on fuzzy set theory, Linz, Austria, pp 173–190

  15. Zadeh LA (1965) Fuzzy sets. Inform Control 8:338–353

    Google Scholar 

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Correspondence to J. Drewniak.

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Drewniak, J., Sobera, J. Compositions of invariant fuzzy implications. Soft Comput 10, 514–520 (2006). https://doi.org/10.1007/s00500-005-0527-3

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