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2004•Journal of Shanxi UniversityRequires access

An Algorithm of Attribute Reduction Based on Discernibility Matrix

Yinhua Li

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Abstract

Knowledge reduction is a very important topic in the rough set theory. An improving algorithm ARDM of the conventional method for constructing the discernibility matrix of an information system or a decision table is presented by using the role of absorptive law which reacts on simplifying process into the process of constructing the discernibility matrix. This algorithm reduces the scan times of elements in the discemibility matrix and computation.

About this research paper

What this paper is about

Knowledge reduction is a very important topic in the rough set theory. An improving algorithm ARDM of the conventional method for constructing the discernibility matrix of an information system or a decision table is presented by using the role of absorptive law which reacts on simplifying process into the process of constructing the discernibility matrix. This algorithm reduces the scan times of elements in the discemibility matrix and computation.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Knowledge reduction is a very important topic in the rough set theory. An improving algorithm ARDM of the conventional method for constructing the discernibility matrix of an information system or a decision table is presented by using the role of absorptive law which reacts on simplifying process into the process of constructing the discernibility matrix. This algorithm reduces the scan times of elements in the discemibility matrix and computation.

Key concepts: Rough set, Reduction (mathematics), Matrix (chemical analysis), Decision table, Algorithm, Computation, Set (abstract data type), Computer science

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