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Hybrid monotonic inclusion measure and its use in measuring similarity and distance between fuzzy sets

Fuzzy Sets and SystemsPublished 12 June 2008
Hongying Zhang, Wen‐Xiu Zhang
Citations56
SJR quartileQ1
SJR score0.75
SNIP1.25

TL;DR

This paper introduces a new definition of inclusion measure: hybrid monotonic inclusion measure (S inclusion measure for short), and proves most of the S inclusion measures possess some kind of T-transitivity and some properties postulated by Sinha and Dougherty for a reasonable inclusion measure.

Abstract

In fuzzy set theory, an inclusion measure indicates the degree to which a given fuzzy set is contained in another fuzzy set. In this paper, we introduce a new definition of inclusion measure: hybrid monotonic inclusion measure (S inclusion measure for short). Some inclusion measures defined by other authors and us are proved to be S inclusion measures. In addition, as the rational generalization of crisp inclusion relation, we prove most of the S inclusion measures possess some kind of T-transitivity and some properties postulated by Sinha and Dougherty for a reasonable inclusion measure. Similarity measure and distance between two fuzzy sets derived from S inclusion measure possess properties of normal similarity measure and distance. Furthermore, some similarity measures possess T-transitivity and distributivity.

Keywords

Computer ScienceDecision SciencesMathematics