On the Distributivity of Fuzzy Implications Over Nilpotent or Strict Triangular Conorms

Recently, many works have appeared in this very journal dealing with the distributivity of fuzzy implications over t-norms and t-conorms. These equations have a very important role to play in efficient inferencing in approximate reasoning, especially fuzzy control systems. Of all the four equations considered, the equation I(x, S1 (y,z)) = S2(I(x,y),I(x,z)), when S1,S2 are both t-conorms and I is an R-implication obtained from a strict t-norm, was not solved. In this paper, we characterize functions I that satisfy the previous functional equation when S1,S2 are either both strict or nilpotent t-conorms. Using the obtained characterizations, we show that the previous equation does not hold when S1,S2 are either both strict or nilpotent t-conorms, and I is a continuous fuzzy implication. Moreover, the previous equation does not hold when I is an R -implication obtained from a strict t-norm, and S1,S2 are both strict t-conorms, while it holds for an R-implication I obtained from a strict t-norm T if and only if the t-conorms S1 = S2 are Phi-conjugate to the Lukasiewicz t-conorm for some increasing bijection phi of the unit interval, which is also a multiplicative generator of T.

[1]  Jerry M. Mendel,et al.  Comments on "William E. Combs: Combinatorial rule explosion eliminated by a fuzzy rule configuration" [and reply] , 1999, IEEE Trans. Fuzzy Syst..

[2]  S. Gottwald A Treatise on Many-Valued Logics , 2001 .

[3]  Michal Baczynski,et al.  On the characterizations of (S, N)-implications , 2007, Fuzzy Sets Syst..

[4]  E. Trillas,et al.  On the law [p/spl and/q/spl rarr/r]=[(p/spl rarr/r)V(q/spl rarr/r)] in fuzzy logic , 2002 .

[5]  Enric Trillas,et al.  On the law [p∧q→r]=[(p→r)V(q→r)] in fuzzy logic , 2002, IEEE Trans. Fuzzy Syst..

[6]  Michal Baczynski,et al.  Conjugacy Classes of Fuzzy Implications , 1999, Fuzzy Days.

[7]  J. Mendel,et al.  Comments on "Combinatorial rule explosion eliminated by a fuzzy rule configuration" [with reply] , 1999 .

[8]  Siegfried Gottwald,et al.  Universes of fuzzy sets-a short survey , 2003, 33rd International Symposium on Multiple-Valued Logic, 2003. Proceedings..

[9]  Joan Torrens,et al.  Distributivity of residual implications over conjunctive and disjunctive uninorms , 2007, Fuzzy Sets Syst..

[10]  Janusz Kacprzyk,et al.  Management decision support systems using fuzzy sets and possibility theory , 1985 .

[11]  Paulo J. G. Lisboa,et al.  Fuzzy systems in medicine , 2000 .

[12]  Ronald R. Yager,et al.  On some new classes of implication operators and their role in approximate reasoning , 2004, Inf. Sci..

[13]  Humberto Bustince,et al.  Automorphisms, negations and implication operators , 2003, Fuzzy Sets Syst..

[14]  James E. Andrews,et al.  Combinatorial rule explosion eliminated by a fuzzy rule configuration , 1998, IEEE Trans. Fuzzy Syst..

[15]  Joan Torrens,et al.  Distributivity of strong implications over conjunctive and disjunctive uninorms , 2006, Kybernetika.

[16]  J. Patrick Fitch,et al.  Applying URC Fuzzy Logic to Model Complex Biological Systems in the Language of Biologists , 1998 .

[17]  Marc Roubens,et al.  Fuzzy Preference Modelling and Multicriteria Decision Support , 1994, Theory and Decision Library.

[18]  Vladik Kreinovich,et al.  A new class of fuzzy implications. Axioms of fuzzy implication revisited , 1998, Fuzzy Sets Syst..

[19]  A. Kandel,et al.  Comment on "Combinatorial Rule Explosion Eliminated by a Fuzzy Rule Configuration" , 1999 .

[20]  J. Drewniak,et al.  Monotonic Fuzzy Implications , 2000 .

[21]  Amitabh Sagar,et al.  Author's reply , 1991, Journal of neurosciences in rural practice.

[22]  Hung T. Nguyen,et al.  A First Course in Fuzzy Logic , 1996 .

[23]  Attila Gilányi,et al.  An Introduction to the Theory of Functional Equations and Inequalities , 2008 .

[24]  J. Balasubramaniam,et al.  On the distributivity of implication operators over T and S norms , 2004, IEEE Transactions on Fuzzy Systems.

[25]  Radko Mesiar,et al.  Generated triangular norms , 2000, Kybernetika.

[26]  Michaeł Baczyński On a class of distributive fuzzy implications , 2001 .

[27]  Michal Baczynski,et al.  Residual implications revisited. Notes on the Smets-Magrez Theorem , 2004, Fuzzy Sets Syst..

[28]  Michal Baczynski,et al.  Contrapositive Symmetry of Distributive Fuzzy Implications , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[29]  Berthold Schweizer,et al.  Probabilistic Metric Spaces , 2011 .

[30]  M. Kuczma Functional equations in a single variable , 1968 .

[31]  J. Aczél,et al.  Lectures on Functional Equations and Their Applications , 1968 .

[32]  J. Balasubramaniam,et al.  R-Implication Operators And Rule Detection in Mamdani-Type Fuzzy Systems , 2002, JCIS.

[33]  D. Dubois,et al.  Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions , 1999 .

[34]  M. Miyakoshi,et al.  Solutions of composite fuzzy relational equations with triangular norms , 1985 .

[35]  G. Doetsch,et al.  Zur Theorie der konvexen Funktionen , 1915 .

[36]  LangJérôme,et al.  Fuzzy sets in approximate reasoning, part 2 , 1991 .