The first aim of this paper is to extend the fuzzy similarity relation defined in the generalized
Lukasiewicz structure to utilize common and cumulative Minkowsky metrics and introduce a …

Matching is a common problem in many areas of applications. In fuzzy systems, partial
matching is allowed. Many similarity measures have been proposed for different fuzzy …

Text similarity is critical in a variety of applications, including word processing, signal
processing, imagery, data mining, wireless sensor networks, etc., where text similarity …

Abstract 1 In this paper, we survey the relationship between the similarity measure and
dissimilarity measure for fuzzy sets. First, we design a similarity measure using a distance …

It is relatively easy to detect exact matches in Web documents; however, detecting similar
content in distinct Web documents with different words and sentence structures is a much …

The fuzzy similarity measure shows the similar degree of two fuzzy sets (FSs) and can be
used in various areas. There are numerous studies as to it on type-1 fuzzy sets (T1 FSs), but …

Picture fuzzy set (PFS) is a direct extension of fuzzy sets (FSs) and intuitionistic fuzzy sets
(IFSs) and is quite powerful than FSs and IFSs in expressing the uncertainty and vagueness …

IFS is the further extension of ordinary fuzzy set, widely used in distinct applications to tackle
uncertainty and fuzzy problems. Generally, similarity/distance measures are significant …

Matching pairs of objects is a fundamental operation in data analysis. However, it requires
the definition of a similarity measure between objects that are to be matched. The similarity …

In this paper, the weighted tangent similarity measure of fuzzy sets is proposed and its
properties are studied. The concept of the weighted tangent similarity measure of fuzzy sets …