Multi-dimensionality reputation evaluation model for C2C E-commerce in hesitant triangular fuzzy setting

摘要

In this paper, we investigate the multiple attribute decision making (MADM) problems with hesitant triangular fuzzy information. Firstly, some operational laws of hesitant triangular fuzzy elements and score function of hesitant fuzzy elements are introduced. Then, we have developed the induced hesitant triangular fuzzy choquet ordered averaging (IHTFCOA) 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 IHTFCOA operators to MADM for multi-dimensionality reputation evaluation for C2C e-commerce with hesitant triangular fuzzy information. Finally an illustrative example for multi-dimensionality reputation evaluation for C2C e-commerce has been given to show the developed method.