×

Distributivity equations of implications based on continuous triangular conorms. II. (English) Zbl 1315.03040

Summary: In order to avoid combinatorial rule explosion in fuzzy reasoning, the authors investigated in Part I [“Distributivity equations of implications based on continuous triangular norms. I“, IEEE Trans. Fuzzy Syst. 21, 153–167 (2012)] the distributivity equation of implication \(I(x,T_1(y,z))=T_2(I(x,y),I(x,z))\), when \(T_1\) is a continuous but not Archimedean triangular norm, \(T_2\) is a continuous and Archimedean triangular norm and \(I\) is an unknown function. In fact, it partially answered the open problem suggested by M. Baczyński and B. Jayaram in [“On the distributivity of fuzzy implications over nilpotent or strict triangular conorms“, IEEE Trans. Fuzzy Syst. 17, No. 3, 590–603 (2009)]. In this work we continue to explore the distributivity equation of implication \(I(x,S_1(y,z))=S_2(I(x,y),I(x,z))\), when both \(S_1\) and \(S_2\) are continuous but not Archimedean triangular conorms, and \(I\) is an unknown function. Here it should be pointed out that these results make difference with recent ones obtained in Part I [loc. cit.]. Moreover, our method can still apply to the three other functional equations related closely to this equation. It is in this sense that we have completely solved the open problem commented above.

MSC:

03B52 Fuzzy logic; logic of vagueness
39B52 Functional equations for functions with more general domains and/or ranges
Full Text: DOI

References:

[1] Baczyński, M., On a class of distributivity fuzzy implications, Int. J. Uncertain. Fuzziness Knowl.-Based Syst., 9, 229-238 (2001) · Zbl 1113.03315
[2] Baczyński, M., Contrapositive symmetry of distributivity fuzzy implications, Int. J. Uncertain. Fuzziness Knowl.-Based Syst., 10, 135-147 (2002) · Zbl 1057.39023
[3] Baczyński, M., On the distributivity of fuzzy implications over representable uninorms, Fuzzy Sets Syst., 161, 2256-2275 (2010) · Zbl 1201.03013
[4] Baczyński, M.; Drewniak, J., Conjugacy classes of fuzzy implication, (Reusch, B., Computational Intelligence: Theory and Applications. Computational Intelligence: Theory and Applications, Lecture Notes in Computer Science, vol. 1625 (1999), Springer: Springer New York, Berlin), 287-298 · Zbl 0929.03034
[5] Baczyński, M.; Jayaram, B., On the distributivity of fuzzy implications over nilpotent or strict triangular conorms, IEEE Trans. Fuzzy Syst., 17, 3, 590-603 (2009)
[6] Combs, W. E., Authorʼs reply, IEEE Trans. Fuzzy Syst., 7, 371-373 (1999)
[7] Combs, W. E., Authorʼs reply, IEEE Trans. Fuzzy Syst., 7, 477-478 (1999)
[8] Combs, W. E.; Andrews, J. E., Combinatorial rule explosion eliminated by a fuzzy rule configuration, IEEE Trans. Fuzzy Syst., 6, 1-11 (1998)
[9] Dick, S.; Kandel, A., Comments on “Combinational rule explosion eliminated by a fuzzy rule configuration”, IEEE Trans. Fuzzy Syst., 7, 475-477 (1999)
[10] Fodor, J.; Roubens, M., Fuzzy Preference Modelling and Multicriteria Decision Support (1994), Kluwer: Kluwer Dordrecht · Zbl 0827.90002
[11] Gottwald, S., A Treatise on Many-Valued Logics (2001), Research Studies Press: Research Studies Press Baldock, Hertfordshire · Zbl 1048.03002
[12] Jayaram, B.; Rao, C. J.M., On the distributivity of implication operators over \(T\)- and \(S\)-norms, IEEE Trans. Fuzzy Syst., 12, 194-198 (2004)
[13] Klement, E. P.; Mesiar, R.; Pap, E., Triangular Norms (2000), Kluwer: Kluwer Dordrecht · Zbl 0972.03002
[14] Ling, C. H., Representation of associative functions, Publ. Math. (Debr.), 12, 189-212 (1965) · Zbl 0137.26401
[15] Mendel, J. M.; Liang, Q., Comments on “Combinatorial rule explosion eliminated by a fuzzy rule configuration”, IEEE Trans. Fuzzy Syst., 7, 369-371 (1999)
[16] Qin, F.; Baczyński, M., Distributivity equations of implications based on continuous triangular norms (I), IEEE Trans. Fuzzy Syst., 21, 153-167 (2012)
[17] Qin, F.; Yang, L., Distributivity equations of implications based on nilpotent triangular norms, Int. J. Approx. Reason., 51, 984-992 (2010) · Zbl 1226.03036
[18] Qin, F.; Zhao, B., The distributivity equations for idempotent uninorms and nullnorms, Fuzzy Sets Syst., 155, 446-458 (2005) · Zbl 1077.03514
[19] Ruiz-Aguilera, D.; Torrens, J., Distributivity of strong implications over conjunctive and disjunctive uninorms, Kybernetika, 42, 319-336 (2005) · Zbl 1249.03030
[20] Ruiz-Aguilera, D.; Torrens, J., Distributivity of residual implications over conjunctive and disjunctive uninorms, Fuzzy Sets Syst., 158, 23-37 (2007) · Zbl 1114.03022
[21] Trillas, E.; Alsina, C., On the law \([p \wedge q \to r] = [(p \to r) \vee(q \to r)]\) in fuzzy logic, IEEE Trans. Fuzzy Syst., 10, 84-88 (2002)
[22] Türksen, I. B.; Kreinovich, V.; Yager, R. R., A new class of fuzzy implications. Axioms of fuzzy implication revisited, Fuzzy Sets Syst., 100, 267-272 (1998) · Zbl 0939.03030
[23] Xie, A.; Li, C.; Liu, H., Distributivity equations of fuzzy implications based on continuous triangular conorms given as ordinal sums, IEEE Trans. Fuzzy Syst., 21, 541-554 (2013)
[24] Xie, A.; Liu, H.; Zhang, F.; Li, C., On the distributivity of fuzzy implications over continuous Archimedean t-conorms and continuous t-conorms given as ordinal sums, Fuzzy Sets Syst., 205, 76-100 (2012) · Zbl 1279.03048
[25] Yang, L.; Qin, F., Distributivity equations based on fuzzy implications, (IEEE International Conference on Fuzzy Systems. IEEE International Conference on Fuzzy Systems, Korea (2009)), 560-563
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.