Distributivity of implication operations over t-representable t-norms in interval-valued fuzzy set theory: The case of nilpotent t-norms
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[1] Benjamín R. C. Bedregal,et al. On interval fuzzy S-implications , 2010, Inf. Sci..
[2] Etienne E. Kerre,et al. On the relationship between some extensions of fuzzy set theory , 2003, Fuzzy Sets Syst..
[3] James E. Andrews,et al. Combinatorial rule explosion eliminated by a fuzzy rule configuration , 1998, IEEE Trans. Fuzzy Syst..
[4] Joan Torrens,et al. Distributivity of strong implications over conjunctive and disjunctive uninorms , 2006, Kybernetika.
[5] Michal Baczynski,et al. Fuzzy Implications , 2008, Studies in Fuzziness and Soft Computing.
[6] Didier Dubois,et al. Terminological difficulties in fuzzy set theory - The case of "Intuitionistic Fuzzy Sets" , 2005, Fuzzy Sets Syst..
[7] Milos Manic,et al. Interval Type-2 fuzzy voter design for fault tolerant systems , 2011, Inf. Sci..
[8] Benjamín R. C. Bedregal,et al. Interval representations, Łukasiewicz implicators and Smets-Magrez axioms , 2013, Inf. Sci..
[9] J. Mendel,et al. Comments on "Combinatorial rule explosion eliminated by a fuzzy rule configuration" [with reply] , 1999 .
[10] Krassimir T. Atanassov,et al. Intuitionistic fuzzy sets , 1986 .
[11] A. Kandel,et al. Comment on "Combinatorial Rule Explosion Eliminated by a Fuzzy Rule Configuration" , 1999 .
[12] Glad Deschrijver,et al. Uninorms which are neither conjunctive nor disjunctive in interval-valued fuzzy set theory , 2013, Inf. Sci..
[13] Chris Cornelis,et al. On the representation of intuitionistic fuzzy t-norms and t-conorms , 2004, IEEE Transactions on Fuzzy Systems.
[14] Marc Roubens,et al. Fuzzy Preference Modelling and Multicriteria Decision Support , 1994, Theory and Decision Library.
[15] Balasubramaniam Jayaram,et al. Rule reduction for efficient inferencing in similarity based reasoning , 2008, Int. J. Approx. Reason..
[16] Humberto Bustince,et al. Construction of fuzzy indices from fuzzy DI-subsethood measures: Application to the global comparison of images , 2007, Inf. Sci..
[17] C. Alcalde,et al. A constructive method for the definition of interval-valued fuzzy implication operators , 2005, Fuzzy Sets Syst..
[18] Chris Cornelis,et al. The standard completeness of interval-valued monoidal t-norm based logic , 2012, Inf. Sci..
[19] Michal Baczynski. On the Distributivity of Implication Operations over t-Representable t-Norms Generated from Strict t-Norms in Interval-Valued Fuzzy Sets Theory , 2010, IPMU.
[20] Michal Baczynski,et al. Distributive Equations of Implications Based on Continuous Triangular Norms (I) , 2012, IEEE Transactions on Fuzzy Systems.
[21] Yongjian Xie,et al. Complete solution sets of inf-→ interval-valued fuzzy relation equations , 2013, Inf. Sci..
[22] Joan Torrens,et al. Distributivity of residual implications over conjunctive and disjunctive uninorms , 2007, Fuzzy Sets Syst..
[23] Oscar Castillo,et al. A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks , 2009, Inf. Sci..
[24] Benjamín Bedregal,et al. K-operators: An approach to the generation of interval-valued fuzzy implications from fuzzy implications and vice versa , 2014, Inf. Sci..
[25] Michal Baczynski. Distributivity of Implication Operations over t-Representable T-Norms Generated from Nilpotent T-Norms , 2011, WILF.
[26] M. Gorzałczany. A method for inference in approximate reasoning based on interval-valued fuzzy sets , 1987 .
[27] Michael Reinfrank,et al. An introduction to fuzzy control (2nd ed.) , 1996 .
[28] Tzuu-Hseng S. Li,et al. Design of interval type-2 fuzzy sliding-mode controller , 2008, Inf. Sci..
[29] Chris Cornelis,et al. Implication in intuitionistic fuzzy and interval-valued fuzzy set theory: construction, classification, application , 2004, Int. J. Approx. Reason..
[30] B. Baets,et al. The fundamentals of fuzzy mathematical morphology, part 1 : basic concepts , 1995 .
[31] Joan Torrens,et al. A Survey on Fuzzy Implication Functions , 2007, IEEE Transactions on Fuzzy Systems.
[32] Michal Baczynski,et al. On the Distributivity of Fuzzy Implications Over Nilpotent or Strict Triangular Conorms , 2009, IEEE Transactions on Fuzzy Systems.
[33] J. Balasubramaniam,et al. On the distributivity of implication operators over T and S norms , 2004, IEEE Transactions on Fuzzy Systems.
[34] Dr. Hans Hellendoorn,et al. An Introduction to Fuzzy Control , 1996, Springer Berlin Heidelberg.
[35] 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..
[36] Yongjian Xie,et al. Robustness of interval-valued fuzzy inference , 2011, Inf. Sci..
[37] Benjamín R. C. Bedregal,et al. On interval fuzzy negations , 2010, Fuzzy Sets Syst..
[38] Ladislav J. Kohout,et al. Semantics of implication operators and fuzzy relational products , 1980 .
[39] Michaeł Baczyński. On a class of distributive fuzzy implications , 2001 .
[40] Humberto Bustince,et al. Mathematical analysis of interval-valued fuzzy relations: Application to approximate reasoning , 2000, Fuzzy Sets Syst..
[41] Barbara Pekala,et al. Properties of Atanassov's intuitionistic fuzzy relations and Atanassov's operators , 2012, Inf. Sci..
[42] Michal Baczynski,et al. On the distributivity of fuzzy implications over continuous and Archimedean triangular conorms , 2010, Fuzzy Sets Syst..
[43] 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 .
[44] Lotfi A. Zadeh,et al. Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..