In spatial reasoning, relationships between spatial entities play a major role. In image
interpretation, computer vision and structural recognition, the management of imperfect …

The main aim of this paper is to introduce a neurosophic subsethood measure for single
valued neutrosophic sets. For this purpose, we first introduce a system of axioms for …

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 …

Two measures are presented for comparing fuzzy sets. The method for constructing these
measures is studied, starting from fuzzy DI-subsethood measures (see [H. Bustince, V …

To extract knowledge from a set of numerical data and build up a rule-based system is an
important research topic in knowledge acquisition and expert systems. In recent years, many …

In this paper a unified formulation of subsethood, entropy, and cardinality for interval-valued
fuzzy sets (IVFSs) is presented. An axiomatic skeleton for subsethood measures in the …

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 …

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

We comment on the subsethood measure and weak subsethood measure defined by Young
and give some new definitions of subsethood measure. We present some subsethood …

Three-way decision is widely applied with rough set theory to learn classification or decision
rules. The approaches dealing with complete information are well established in the …