Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4943810 | Fuzzy Sets and Systems | 2017 | 34 Pages |
Abstract
We develop a detailed formal study of the different variants of the notions of similarity and dissimilarity between fuzzy sets under the assumption of “additivity”. A measure of (dis)similarity is said to be additive when it can be decomposed as the sum of the particular (dis)similarities of the compared memberships over the different elements of the universe. Some formal relations between existing formalizations of the notions of “similarity” and “dissimilarity” arise under this additional assumption. We conclude that, in this particular setting, one may basically distinguish between two main categories of comparison measures in the literature: those that depend on both the intersection and the difference of the compared items and those that only depend on their difference.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Inés Couso, Luciano Sánchez,