Applications of intuitionistic fuzzy divergence to multi–attribute decision making

Atanassov recommended the idea of intuitionistic 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, intuitionistic fuzzy divergence measure involving two parameters along with their proofs of validity is introduced. Further, it is shown that intuitionistic 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.