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L-Fuzzy Valued Inclusion Measure, L-Fuzzy Similarity and L-Fuzzy Distance

2001/10/31 by Ath. Kehagias, Kehagias, Ath., M. Konstantinidou +1
Computer Science · #FOS: Computer and information sciences #I.5.1 #Other Computer Science (cs.OH) #cs.OH

paper · pdf · doi:10.48550/arxiv.cs/0111002

19 pages

arxiv created 2001/10/31 · arxiv updated 2011/11/09

Abstract

The starting point of this paper is the introduction of a new measure of inclusion of fuzzy set A in fuzzy set B. Previously used inclusion measures take values in the interval [0,1]; the inclusion measure proposed here takes values in a Boolean lattice. In other words, inclusion is viewed as an L-fuzzy valued relation between fuzzy sets. This relation is re exive, antisymmetric and transitive, i.e. it is a fuzzy order relation; in addition it possesess a number of properties which various authors have postulated as axiomatically appropriate for an inclusion measure. We also define an L-fuzzy valued measure of similarity between fuzzy sets and and an L-fuzzy valued distance function between fuzzy sets; these possess properties analogous to the ones of real-valued similarity and distance functions. Keywords: Fuzzy Relations, inclusion measure, subsethood, L-fuzzy sets, similarity, distance, transitivity.

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