A new method for hesitant fuzzy multi-criteria decision making

Hesitant fuzzy set (HFS) is a powerful decision making tool to express uncertain information. In this paper, we suggest a new approach by combining TOPSIS and ELECTRE II ideas to solve efficiently multi-criteria decision making (MCDM) problems under hesitant fuzzy environments. The new method is formulated using the concepts of hesitant fuzzy concordance and discordance which are based on the relative closeness concept. Also, a numerical example is provided to demonstrate the application of the proposed method and a comparative analysis is performed based on the same example.