A novel algorithm for discretization of continuous attributes in rough set theory based on FCM
Wang Xiu-bi
Abstract
Wang Xiu-bi
Abstract
In this article,the authors propose a new method for discretization of continuous attributes based on FCM cluster using feedback information from decision table consistency.As the interactions between attributes are considered,this algorithm transforms all the continuous attributes into matrix to process simultaneously,which can obviously speed the discretization process of traditional dynamic hierarchical clustering algorithm.Results show that this approach can not only keep the effective attribute but also increase discretization precision.
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In this article,the authors propose a new method for discretization of continuous attributes based on FCM cluster using feedback information from decision table consistency.As the interactions between attributes are considered,this algorithm transforms all the continuous attributes into matrix to process simultaneously,which can obviously speed the discretization process of traditional dynamic hierarchical clustering algorithm.Results show that this approach can not only keep the effective attribute but also increase discretization precision.
Key concepts: Discretization, Rough set, Discretization of continuous features, Consistency (knowledge bases), Computer science, Algorithm, Cluster analysis, Decision table