关键词: 三角模糊数, 核心评级, 模糊偏好, 决策者权重, 排序置信度

Abstract:

There are significant differences in the professional background of decision-makers and the concerned degree of evaluation object attributes, however a few Fuzzy Multiple Attribute Decision-making（FMAD） methods take into account the decision-makers weight and the role of core ratings for final evaluation. Regarding that, this paper designs Integral Fuzzy Ranking Method（IFRM）. Firstly, linguistic variables are quantified as triangular fuzzy number based on fuzzy theory. Then, decision-makers weight is updated until it is stable, according to the gap between individual evaluation and aggregate evaluation. After that, the information entropy of core rating is calculated by entropy method to determinethe attribute weight and the comprehensive aggregated fuzzy rating of evaluation. Further, the preference degree between any two schemes is provided to form ranking with the largest confidence degree based on the integral fuzzy preference. Finally, taking some brand share bicycle as an example, the characteristics and schemes ranking of common Multi-Attribute Decision-making（MAD） methods are compared. The analysis shows that schemes ranked by IFRM are provided with higher consistency and confidence. Meanwhile, IFRM is feasible, effective and superiority to solve the fuzzy MAD problems.

Key words: triangular fuzzy numbers, core rating, fuzzy preference, decision-makers weight, ranking confidence