2005•Microcomputer DevelopmentRequires access

A Complete Algorithm for Attribute Reduction Based on Dicernibility Matrix

Xiaowei Li

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Abstract

To get a better set of attribute reduction,this paper proposed a new algorithm for attribute reduction based on the study of dicernibility matrix of rough sets.This algorithm focuses on the computing of the attribute set gotten from the dicernibility matrix,in order to get a new set.Based on the analysis of this new set,a complete algorithm for attribute reduction is given.Finally analyzed the time complexity of this algorithm and gave the proof of its completeness.

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What this paper is about

To get a better set of attribute reduction,this paper proposed a new algorithm for attribute reduction based on the study of dicernibility matrix of rough sets.This algorithm focuses on the computing of the attribute set gotten from the dicernibility matrix,in order to get a new set.Based on the analysis of this new set,a complete algorithm for attribute reduction is given.Finally analyzed the time complexity of this algorithm and gave the proof of its completeness.

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Available abstract

To get a better set of attribute reduction,this paper proposed a new algorithm for attribute reduction based on the study of dicernibility matrix of rough sets.This algorithm focuses on the computing of the attribute set gotten from the dicernibility matrix,in order to get a new set.Based on the analysis of this new set,a complete algorithm for attribute reduction is given.Finally analyzed the time complexity of this algorithm and gave the proof of its completeness.

Key concepts: Computer science, Reduction (mathematics), Rough set, Attribute domain, Algorithm, Set (abstract data type), Completeness (order theory), Matrix (chemical analysis)

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