基于粗糙集和知识粒度的特征权重确定方法

A New Method of Knowledge Characteristics Weighting Based On Rough Set and Knowledge Granulation

研究知识特征的粗糙集表征及其等价划分知识类别的精确度,在粗糙集理论的基础上结合知识粒度理论计算特征权重,提出基于粗糙集和知识粒度的权重确定方法,并通过算例证明所提出方法可以解决权重确定中存在的主观随意性和特征冗余等问题,进一步提高权重确定方法的适用性。

This paper studies rough set representation and equivalence division of knowledge features, and the accuracy of knowledge categories, proposes a method of weight determination based on rough set and knowledge granularity, based on rough set theory and knowledge granularity theory, an example is given to prove that, the proposed method can solve the problems of subjective randomness and feature redundancy in weight determination, and further improves the applicability of the weight determination method.