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On a Generalization of Yager’s Implications

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 298))

Abstract

In this paper, a generalization of Yager’s implications is proposed and the resulting new class of implications from f-generated implications with f(0) < + ∞ is studied. The generalization is based on considering a more general internal function than the product into their expression. In this particular case, this more general function has to be, in fact, a binary aggregation function and depending on its properties, the behaviour and additional properties of the generated implication are determined. Finally, we prove that this new class intersects some of the well-known classes, such as (S,N) and (U,N)-implications, among others.

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References

  1. Baczyński, M., Jayaram, B.: Fuzzy Implications. STUDFUZZ, vol. 231. Springer, Heidelberg (2008)

    MATH  Google Scholar 

  2. Baczyński, M., Jayaram, B.: (U,N)-implications and their characterizations. Fuzzy Sets and Systems 160, 2049–2062 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  3. Balasubramaniam, J.: Contrapositive symmetrisation of fuzzy implications–revisited. Fuzzy Sets and Systems 157(17), 2291–2310 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  4. Beliakov, G., Pradera, A., Calvo, T.: Aggregation Functions: A Guide for Practitioners. STUDFUZZ, vol. 221. Springer (2007)

    Google Scholar 

  5. Carbonell, M., Torrens, J.: Continuous R-implications generated from representable aggregation functions. Fuzzy Sets and Systems 161, 2276–2289 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  6. De Baets, B., Fodor, J.C.: Residual operators of uninorms. Soft Computing 3, 89–100 (1999)

    Article  Google Scholar 

  7. Durante, F., Klement, E., Mesiar, R., Sempi, C.: Conjunctors and their residual implicators: Characterizations and construction methods. Mediterranean Journal of Mathematics 4, 343–356 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  8. Fodor, J.C., Roubens, M.: Fuzzy Preference Modelling and Multicriteria Decision Support. Kluwer Academic Publishers, Dordrecht (1994)

    MATH  Google Scholar 

  9. Grabisch, M., Marichal, J.-L., Mesiar, R., Pap, E.: Aggregation Functions, 1st edn. Encyclopedia of Mathematics and its Applications. Cambridge University Press, New York (2009)

    MATH  Google Scholar 

  10. Maes, K.C., De Baets, B.: On the structure of left-continuous t-norms that have a continuous contour line. Fuzzy Sets and Systems 158, 843–860 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  11. Mas, M., Monserrat, M., Torrens, J.: Two types of implications derived from uninorms. Fuzzy Sets and Systems 158, 2612–2626 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  12. Mas, M., Monserrat, M., Torrens, J., Trillas, E.: A survey on fuzzy implication functions. IEEE Transactions on Fuzzy Systems 15(6), 1107–1121 (2007)

    Article  Google Scholar 

  13. Massanet, S., Torrens, J.: The law of importation versus the exchange principle on fuzzy implications. Fuzzy Sets and Systems 168(1), 47–69 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  14. Massanet, S., Torrens, J.: On a new class of fuzzy implications: h-implications and generalizations. Information Sciences 181(11), 2111–2127 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  15. Trillas, E., Mas, M., Monserrat, M., Torrens, J.: On the representation of fuzzy rules. Int. J. Approx. Reasoning 48(2), 583–597 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  16. Yager, R.R.: On some new classes of implication operators and their role in approximate reasoning. Information Sciences 167, 193–216 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  17. Yager, R.R.: Modeling holistic fuzzy implication using co-copulas. Fuzzy Optimization and Decision Making 5, 207–226 (2006)

    Article  MathSciNet  MATH  Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Massanet, S., Torrens, J. (2012). On a Generalization of Yager’s Implications. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31715-6_34

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  • DOI: https://doi.org/10.1007/978-3-642-31715-6_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31714-9

  • Online ISBN: 978-3-642-31715-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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