The Evidential Reasoning Approach for Multiple Attribute Decision Analysis Using Intuitionistic Fuzzy Information

The evidential reasoning (ER) approach is a method for multiple attribute decision analysis (MADA) under uncertainties. It improves the insightfulness and rationality of a decision making process by using a belief decision matrix (BDM) for problem modelling and the Dempster-Shafer (D-S) theory of evidence for attribute aggregation. While in reality, several types of uncertainties such as fuzziness may be provided. So in this paper, one of the types-intuitionistic fuzzy number will be investigated. The provided assessment information will be given using intutionistic fuzzy information. First, the evidential reasoning approach and the intuitionistic fuzzy information will be introduced. Then, the intuitionistic fuzzy information will be incorporated into the ER theory and the process will also be provided. At the end, a numerical example is examined.