An approach to hesitant fuzzy multiple attribute decision making and their applications to performance evaluation of emergency management

The Maclaurin symmetric mean (MSM) was originally introduced by Maclaurin. The prominent characteristic of the MSM is that it can capture the interrelationship among the multi-input arguments. However, the researches on MSM are very rare, especially in fuzzy decision making. In this paper, we investigate the MSM operator and extend the MSM operator to hesitant fuzzy environment and develop the hesitant fuzzy Maclaurin symmetric mean (HFMSM) operator and hesitant fuzzy weighted Maclaurin symmetric mean (HFWMSM) operator. Based on HFWMSM operator, an approach to multiple attribute decision making problems with hesitant fuzzy information is developed. Finally, an illustrative example for performance evaluation of emergency management is given to verify the developed approach and to demonstrate its practicality and effectiveness.