An improved fuzzy TODIM method based on entropy measure under Intuitionistic Fuzzy Information


Sunit Kumar
Department of Mathematics, Chandigarh University, Gharuan, Punjab, India.

Satish Kumar
Department of Mathematics, Maharishi Markandeshwar, Mullana, Haryana, India.


Intuitionistic fuzzy set (IFS) is one of the most extensive and important tool to accommodate more uncertainties than existing fuzzy set structures. In the present paper, we describe an improved entropy based on TODIM procedure for handling multi-criteria decision-making (MCDM) under IF setting and also the weight information is partially known. First, we study the basic notions and operating laws of IFSs, also the accuracy and score function of it. The new entropy has been proposed. Secondly, the IF information-based decision-making technique for MCDM is presented. Lastly, a numerical example is given related, to demonstrate that their results are credible and feasible.