Approach to multiple attribute decision making based on the intelligence computing with hesitant triangular fuzzy information and their application

Abstract

We investigate the multiple attribute decision making problems with the hesitant triangular fuzzy information. Then, we have developed the hesitant triangular fuzzy Einstein correlated averaging (HTFECA) operator. The prominent characteristic of the operators is that they can not only consider the importance of the elements or their ordered positions, but also reflect the correlation among the elements or their ordered positions. We have applied the HTFECA operators to multiple attribute decision making for evaluating the wireless network security with hesitant triangular fuzzy information. Finally an illustrative example for evaluating the wireless network security has been given to show the developed method.