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为将因素空间理论与形式概念分析及粗糙集理论进行比较,采用了对比分析的方法.首先,围绕数据分析、知识表示和基于广义数据的规则提取等方面,详尽地介绍了因素分析的三个重要算法;其次,将因素分析法与形式概念分析及粗糙集方法进行了系统的比较.研究结果表明:因素空间理论作为知识表示的数学理论,要优于形式概念分析及粗糙集,是数据科学的重要理论基础.
In order to compare the theory of space of factors and the concept of form and the theory of rough set, a comparative analysis method is adopted.Firstly, three aspects of factor analysis, such as data analysis, knowledge representation and rule extraction based on generalized data, Which is an important algorithm.Secondly, a systematic comparison is made between the factor analysis method and the formal concept analysis and the rough set method.The results show that the mathematical theory of the factor space theory as the knowledge representation is superior to the formal concept analysis and the rough set, The important theoretical basis.