Intutionistic Fuzzy Divergence – An Applied Approach for Solving Multi – Attribute Decision Making

Abstract

Atanassov recommended the idea of intutionistic fuzzy set, that is depicted with a membership function and a non- membership function, as an outcome simplifying Zadeh’s fuzzy sets which merely allocate a membership degree to each element. In the present paper Intutionistic Fuzzy Divergence Measure involving two parameters along with their proofs of validity is introduced. Further, it is shown that Intutionistic Fuzzy Divergence Measure has monotonic decreasing behavior with respect to the two parameters. Finally, a numerical illustration associated to decision making is employed to prove feasibility and efficacy of suggested technique.