2006Journal of Chongqing University of Posts and TelecommunicationsRequires access

A novel algorithm for discretization of continuous attributes in rough set theory based on FCM

Wang Xiu-bi

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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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What this paper is about

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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Available 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.

Key concepts: Discretization, Rough set, Discretization of continuous features, Consistency (knowledge bases), Computer science, Algorithm, Cluster analysis, Decision table

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