Generalization of QL-operators based on general overlap and general grouping functions

Firstly, this work discusses the main conditions guarantying that general overlap (grouping) functions can be obtained from n-dimensional overlap (grouping) functions. Focusing on QL-implications, which are usually generated by strong negations together with t-norms and t-conorms, we consider a non-restrictive construction, by relaxing not only the associativity and the corresponding neutral elements (NE) but also the reverse construction of other properties. Thus, the main properties of the QL-implication class are studied, considering a tuple (G,N,O) generated from grouping and overlap functions together with the greatest fuzzy negation. In addition, in order to provide more flexibility, we define a subclass of QL-implications generated from general overlap and general grouping functions. Some examples are introduced, illustrating the constructive methods to generate such operators.

[1]  Humberto Bustince,et al.  Fuzzy implication functions constructed from general overlap functions and fuzzy negations , 2021, 2104.01915.

[2]  Humberto Bustince,et al.  General Grouping Functions , 2020, IPMU.

[3]  Humberto Bustince,et al.  General overlap functions , 2019, Fuzzy Sets Syst..

[4]  Humberto Bustince,et al.  On D-implications derived by grouping functions , 2019, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[5]  Humberto Bustince,et al.  The law of O-conditionality for fuzzy implications constructed from overlap and grouping functions , 2019, Int. J. Approx. Reason..

[6]  Bao Qing Hu,et al.  The distributive laws of fuzzy implications over overlap and grouping functions , 2018, Inf. Sci..

[7]  Humberto Bustince,et al.  QL-operations and QL-implication functions constructed from tuples (O, G, N) and the generation of fuzzy subsethood and entropy measures , 2017, Int. J. Approx. Reason..

[8]  Humberto Bustince,et al.  n-Dimensional overlap functions , 2016, Fuzzy Sets Syst..

[9]  Benjamín R. C. Bedregal,et al.  On (G, N)-implications derived from grouping functions , 2014, Inf. Sci..

[10]  Eyke Hüllermeier,et al.  Grouping, Overlap, and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons , 2012, IEEE Transactions on Fuzzy Systems.

[11]  Renata Reiser,et al.  Analyzing the Relationship between Interval-valued D-Implications and Interval-valued QL-Implications , 2010 .

[12]  Vicenç Torra,et al.  Aggregation operators , 2007, Int. J. Approx. Reason..

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

[14]  J. Fodor Contrapositive symmetry of fuzzy implications , 1995 .

[15]  Bao Qing Hu,et al.  On interval RO- and (G, O, N)-implications derived from interval overlap and grouping functions , 2021, Int. J. Approx. Reason..

[16]  Michal Baczynski,et al.  QL-implications: Some properties and intersections , 2010, Fuzzy Sets Syst..

[17]  Dennis Longley,et al.  y z , 2022 .