Abstract:

The hesitant fuzzy information aggregation operators are investigated, in which the attributes and experts confidence are in different priority levels. Each evaluation value provided by experts for the projects has a corresponding confidence level denoting the degree that the experts are familiar with the attribute. Considering the double impact of confidence level and the dispersion degree of attribute elements, a hesitant fuzzy entropy method is presented, and then a prioritized hybrid weighted method is proposed based on the hesitant fuzzy entropy method. The weighted method could guarantee a constant priority level of the attribute and distinguish the unity degree of expert opinions effectively and the degree that the experts are familiar with the attribute. Then, the hesitant fuzzy information aggregation operators based on the hybrid weighted methods are put forward. Furthermore, a hesitant fuzzy multiple attribute decision-making method based on the proposed operators is developed.