Fuzzy similarity measures are utilized to match two or more records and are essential to deal
with data classification and pattern-matching problems. We have noticed that the existing …

Fuzzy Similarity measures are used to compare different kinds of objects such as images.
Their definitions are based on proximity measures, operations on fuzzy sets etc. which …

Previously, we introduced a biparametric family of cardinality-based fuzzy similarity
measures. In this paper, we generalize this family by adding a third parameter. We also …

This paper proposes two new similarity measures to represent the similarity measure
between fuzzy sets and between elements, respectively. These similarity measures can be …

Measuring the similarity between clusterings is a classic problem with several proposed
solutions. In this work we focus on measures based on co-association of data pairs and …

Intuitionistic fuzzy sets (IFSs) proposed by Atanassov, fuzzy rough sets (FRSs) proposed by
Nanda and Majumdar, rough fuzzy sets (RFSs) proposed by Banerjee and Pal, have gained …

The distance and similarity measures are two interrelated information measures that can be
effectively used to quantify the degree of deviation and degree of similarity between the …

Real-world data collections are often heterogeneous (represented by a set of mixed
attributes data types: numerical, categorical and fuzzy); since most available similarity …

Abstract Comparison measures to assess similarity, inclusion, and overlap of fuzzy sets are
well known and widely used. This paper goes one step further by bootstrapping a more …

We present a comparative study between fuzzy similarity measures applied to shape
recognition and Arabic sentences recognition described with fuzzy features. The objective is …