Entropy Measures on Neutrosophic Soft Sets and Its Application in Multi Attribute Decision Making

The focus of the paper is to furnish the entropy measure for a neutrosophic set and neutrosophic soft set which is a measure of uncertainty and it permeates discourse and system. Various characterization of entropy measures are derived. Further we exemplify this concept by applying entropy in various real time decision making problems

On Soft slightly πg-continuous functions

In this paper, we introduce and study the concept of soft slightly πg-continuous functions which is weaker than soft πg-continuous functions and obtain its fundamental properties. The relationship between soft slightly πg-continuity and other related functions is also analysed

(T, S) vague congruence and . . .

The aim of this paper is to further develop the concept of (T, S) vague equivalence relation. We discuss some characterization of vague equivalence and vague congruence relations in terms of their level set and prove that the class of vague congruence relations forms a distributive lattice. Further, we define the quotient of a vague lattice with respect to a congruence relation

Interval Valued Fuzzy Neutrosophic Soft Structure Spaces

In this paper we introduce the topological structure of interval valued fuzzy neutrosophic soft sets and obtain some of its properties. We also investigate some operators of interval valued fuzzy neutrosophic soft topological space

Topological structures of fuzzy neutrosophic rough sets

In this paper, we examine the fuzzy neutrosophic relation having a special property that can be equivalently characterised by the essential properties of the lower and upper fuzzy neutrosophic rough approximation operators. Further, we prove that the set of all lower approximation sets based on fuzzy neutrosophic equivalence approximation space forms a fuzzy neutrosophic topology. Also, we discuss the necessary and sufficient conditions such that the FN interior (closure) equals FN lower (upper) approximation operator