Restricted equivalence functions induced from fuzzy implication functions

Document Type : Research Paper

Author

College of Mathematics and Statistics, Northwest Normal University, Lanzhou 730070, PR China

Abstract

Restricted equivalence function, as an effective tool for the theoretical research and practical applications of fuzzy sets and systems along with fuzzy logic, has been continuously considered by scholars since it was proposed. In particular, recently, Bustince, Campi'{o}n, De Miguel et al. (H. Bustince, M.J. Campi'{o}n, L. De Miguel, E. Indur'{a}in, Strong negations and restricted equivalence functions revisited: An analytical and topological approach, Fuzzy Sets and Systems (2021), https://doi.org/10.1016/j.fss.2021.10.013.) investigated it using analytical and topological approach and proposed an open problem to ask whether the binary function $F(x,y)=T(I(x,y),I(y,x))$ obtained from a t-norm $T$ and a fuzzy implication function $I$ is a restricted equivalence function or not. In this paper, we pay attention to this problem and give positive answer of it. Specifically, first, we consider the binary functions obtained from overlap functions and fuzzy implication functions by following the construction way of $F$ and get the necessary and sufficient condition that makes such obtained $F$ to be a restricted equivalence function. Second, we introduce the so-called $\heartsuit$-functions, which are binary functions on unit closed interval with few additional axioms and obtain the necessary and sufficient condition that ensures the binary function constructed via any non-decreasing $\heartsuit$-function and fuzzy implication function as the way of $F$ to be a restricted equivalence function. Finally, we give the necessary and sufficient condition that makes $F$ to be a restricted equivalence function.

Keywords


\[1] M. Baczy´nski, B. Jayaram, Fuzzy implications, Springer, Berlin, 2008.
[2] B. Bedregal, G. P. Dimuro, H. Bustince, E. Barrenechea, New results on overlap and grouping functions, Information Sciences, 249 (2013), 148-170.
[3] H. Bustince, E. Barrenechea, M. Pagola, Restricted equivalence functions, Fuzzy Sets and Systems, 157(17) (2006),
2333-2346.
[4] H. Bustince, E. Barrenechea, M. Pagola, Image thresholding using restricted equivalence functions and maximizing
the measures of similarity, Fuzzy Sets and Systems, 158(5) (2007), 495-51.
[5] H. Bustince, E. Barrenechea, M. Pagola, Relationship between restricted dissimilarity functions, restricted equivalence
functions and normal EN -functions: Image thresholding invariant, Pattern Recognition Letters, 29(4) (2008), 525-536.
[6] H. Bustince, M. J. Campi´on, L. De Miguel, E. Indur´ain, Strong negations and restricted equivalence functions
revisited: An analytical and topological approach, Fuzzy Sets and Systems, 441 (2022), 110-129.
[7] H. Bustince, J. Fern´andez, R. Mesiar, J. Montero, R. Orduna, Overlap functions, Nonlinear Analysis, 72(3) (2010),1488-1499.
[8] L. De Miguel, R. Santiago, C. Wagner, J. M. Garibaldi, Z. Tak´aˇc, A. F. R. L. de Hierro, H. Bustince, Extension of
restricted equivalence functions and similarity measures for type-2 fuzzy sets, IEEE Transactions on Fuzzy Systems, 30(9) (2022), 4005-4016.
[9] G. P. Dimuro, B. Bedregal, Archimedean overlap functions: The ordinal sum and the cancellation, idempotency and
limiting properties, Fuzzy Sets and Systems, 252 (2014), 39-54.
[10] G. P. Dimuro, B. Bedregal, R. H. N. Santiago, On (G, N)-implications derived from grouping functions, Information
Sciences, 279 (2014), 1-17.
[11] F. Durante, J. Quesada-Molina, C. Sempi, Semicopulas: Characterizations and applicability, Kybernetika, 42(8)(2006), 287-302.
[12] F. Durante, C. Sempi, Semicopulæ, Kybernetika, 41(3) (2005), 315-328.
[13] J. Fodor, M. Roubens, Fuzzy preference modelling and multicriteria decision support, Springer Science and Business Media, 1994.
[14] P. Helbin, On some categories of triangular norms on the real unit interval, Iranian Journal of Fuzzy Systems, 19(5) (2022), 183-198.
[15] A. Jurio, M. Pagola, D. Paternain, C. Lopez-Molina, P. Melo-Pinto, Interval-valued restricted equivalence functions
applied on clustering techniques, Proceedings of the Joint 2009, International Fuzzy Systems Association World
Congress and 2009, European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 20-24, 2009 DBLP, (2009).
[16] E. P. Klement, R. Mesiar, E. Pap, Triangular norms, Kluwer Academic Publisher, Dordrecht, 2000.
[17] E. S. Palmeira, B. Bedregal, Restricted equivalence function on L([0, 1]), in: P. Melin, O. Castillo, J. Kacprzyk,
M. Reformat, W. Melek (eds.), Fuzzy Logic in Intelligent System Design, NAFIPS 2017, Advances in Intelligent
Systems and Computing, Springer, Cham, 648 (2018), 410-420.
[18] E. S. Palmeira, B. Bedregal, H. Bustince, D. Paternain, L. D. Miguel, Application of two different methods for
extending latticevalued restricted equivalence functions used for constructing similarity measures on L-fuzzy sets,
Information Sciences, 441 (2018), 95-112.
[19] J. Qiao, RO-implications induced from CL-overlap functions on complete lattices, Soft Computing, 26(17) (2022), 8229-8243.
[20] J. Qiao, B. Q. Hu, On interval additive generators of interval overlap functions and interval grouping functions,
Fuzzy Sets and Systems, 323 (2017), 19-55.
[21] F. Su´arez Garcia, P. Gil Alvarez, ´ Two families of fuzzy integrals, Fuzzy Sets and Systems, 18(1) (1986), 67-81.
[22] J. T. Wang, X. L. Xin, Monadic algebras of an involutive monoidal t-norm based logic, Iranian Journal of Fuzzy Systems, 19(3) (2022), 187-202.
[23] Z. Wang, Y. Yu, Pseudo-t-norms and implication operators on a complete Brouwerian lattice, Fuzzy Sets and
Systems, 132(1) (2002), 113-124.
[24] Y. Zhang, D. C. Li, Fuzzy implications satisfying the generalized hypothetical syllogism based on the Bandler-Kohout subproduct with semicopulas, Iranian Journal of Fuzzy Systems, (2022). DOI: 10.22111/IJFS.2022.7280.