A Method for Hesitant Fuzzy Multiple Attribute Decision Making and Its Application to Risk Investment

Abstract

With respect to evaluation model for risk investment with hesitant fuzzy information, some operational laws of hesitant fuzzy numbers are introduced. We utilize the hesitant fuzzy weighted averaging (HFWA) operator to aggregate the hesitant fuzzy information corresponding to each alternative, and then rank the alternatives and select the most desirable one(s) according to the score function. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.