基于模糊粗糙集的因素权重分配方法

Method of factor weights allocation based on combination of fuzzy and rough set

基于模糊集与粗糙集的融合,提出一种对多因素分配权重的简单方法.该方法与传统的权重分配方法有明显的区别.首先利用模糊聚类分析对数据进行聚类,并提取最佳聚类;然后应用粗糙集中属性的重要程度对各个特征因素进行客观地分配权重.实例分析验证了所提出方法的有效性.

Based on fuzzy and rough set, a simple method is proposed to allocate the factor weights, which distinguishes from the traditional ones. Fuzzy cluster analysis is used to aggregate data, and the best clustering is extracted. The conception of the weightiness of rough set is applied to allocate the factor weights with objective way. The examples show the effectiveness of the proposed method.