关键词: 犹豫模糊偏好关系, 一致性, 共识性, 数据系统

Abstract:

With respect to the advantage that Hesitant Fuzzy Preference Relation（HFPR） can fully describe experts’ hesitant evaluation information in complex management environment, a hesitant fuzzy group consensus reaching algorithm based on HFPR is constructed and applied to the purchase process of bank data system. Firstly, a new consistency index method is introduced to measure the consistency level of the individual HFPR. Then, in order to improve the satisfaction of group experts for decision-making results, a hesitant fuzzy group consensus reaching algorithm is designed, which can ensure that the individual HFPR still has satisfactory consistency when a group HFPRs reach the consensus level. Finally, the example and comparative analysis experiment of bank data system are provided to show the practicability and effectiveness of the proposed method.

Key words: hesitant fuzzy preference relation, consistency, consensus, data system