Abstract:

In this paper, we investigate the generalized hesitant fuzzy information aggregation issues in which the attributes are on different priority levels. Considering the impact of both attributes’ priority levels and the dispersion degree of hesitant fuzzy elements, we first give the entropy based on hesitant fuzzy information, and propose a prioritized hybrid weighted method accordingly. Then, we put forward generalized hesitant fuzzy prioritized hybrid geometric (GHFPHG) operator based on the hybrid weighted method. Furthermore, we discuss some desirable properties of the proposed prioritized operator. Finally, the practicality and effectiveness of the proposed approach are verified by a practical example.

Key words: hesitant fuzzy sets;multiple attribute decision making;generalized hesitant fuzzy integration operator;priority level;entropy