基于粗糙集理论文本分类规则的优化方法

An Approach to Extracting Text Classification Decision Rules Based on Rough Set

文本分类规则的提取和优化是衡量文本分类系统适应性能和分类能力的主要指标.在基于粗糙集和模糊聚类理论的文本分类系统中,结合粗集理论及不完备信息系统理论,提出了分类规则的提取和优化方法,通过实验和分析,产生用户满意的约简规则,从而能够快捷迅速地指导新文本的分类,提高系统的适应性能和分类能力.

The extraction and optimization of Text classification rules are the main indicators to evaluate the ability to adapt to and classify a Text classification system. Based on rough sets and fuzzy clustering theory of text classification system, with the help of the theory of incomplete information system, the paper presents the method to extract and optimize a classification rule. After experimenting and analysis, satisfying reduction rules are obtained to help users quickly classify the new text, thus enhancing the ability to adapt to and classify the system .