Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6856558 | Information Sciences | 2018 | 37 Pages |
Abstract
Based on previous investigations, we have proposed two different methods to extend lattice-valued fuzzy connectives (t-norms, t-conorms, negations and implications) and other related operators, considering a generalized notion of sublattices. Taking into account the results obtained and seeking to analyze the behavior of both extension methods in face of fuzzy operators related to image processing, we have applied these methods so as to extend restricted equivalence functions, restricted dissimilarity functions and Ee, N-normal functions. We also generalize the concepts of similarity measure, distance measure and entropy measure for L-fuzzy sets constructing them via restricted equivalence functions, restricted dissimilarity functions and Ee, N-normal functions.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Eduardo S. Palmeira, Benjamin Bedregal, Humberto Bustince, Daniel Paternain, Laura De Miguel,