In this paper, we introduce an axiomatic definition of an interval-valued fuzzy sets' inclusion
measure which is different from Bustince's [H. Bustince, Indicator of inclusion grade for …

In this paper we study a method of construction of the fuzzy subsethood measures of VR
Young [VR Young, Fuzzy subsethood, Fuzzy Sets and Systems 77 (1996) 371–384] and the …

Supplier selection is a decision-making process to identify and evaluate suppliers for
making contracts. Here, we use interval type-2 fuzzy values to show the decision makers' …

The fuzzy lattice reasoning (FLR) classifier is presented for inducing descriptive, decision-
making knowledge (rules) in a mathematical lattice data domain including space RN …

Subsethood measures, also known as set-inclusion measures, inclusion degrees, rough
inclusions, and rough-inclusion functions, are generalizations of the set-inclusion relation for …

In this paper we define similarity and inclusion measures between type-2 fuzzy sets. We
then discuss their properties and also consider the relationships between them. Several …

In this paper, we study in‐depth certain properties of interval‐valued fuzzy sets and
Atanassov's intuitionistic fuzzy sets (A‐IFSs). In particular, we study the manner in which to …

The inclusion measure, the similarity measure, and the fuzziness of fuzzy sets are three
important measures in fuzzy set theory. In this article, we investigate the relations among …

Zadeh presented the theory of fuzzy sets in 1965 [1]. From the beginning it was clear that this
theory was an extraordinary tool for representing human knowledge. Nevertheless, Zadeh …

By 'model'we mean a mathematical description of a world aspect. With the proliferation of
computers a variety of modeling paradigms emerged under computational intelligence and …