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2003•Journal of Xidian UniversityRequires access

An attribute reduction algorithm based on the information quantity

Wang Jue

Open publisher page 5 citations

Abstract

Reduction of knowledge is one of the important topics in the research on the rough set theory. This paper presents the concept of the information quantity of decision attributes with relation to given condition attributes and proves that its changing tendency is decreasing. Then, a new reduction algorithm based on information quantity is developed, with the time complexity of this algorithm being O(C3U2). An example shows that this algorithm is effective.

About this research paper

What this paper is about

Reduction of knowledge is one of the important topics in the research on the rough set theory. This paper presents the concept of the information quantity of decision attributes with relation to given condition attributes and proves that its changing tendency is decreasing. Then, a new reduction algorithm based on information quantity is developed, with the time complexity of this algorithm being O(C3U2). An example shows that this algorithm is effective.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Reduction of knowledge is one of the important topics in the research on the rough set theory. This paper presents the concept of the information quantity of decision attributes with relation to given condition attributes and proves that its changing tendency is decreasing. Then, a new reduction algorithm based on information quantity is developed, with the time complexity of this algorithm being O(C3U2). An example shows that this algorithm is effective.

Key concepts: Rough set, Reduction (mathematics), Relation (database), Computer science, Algorithm, Set (abstract data type), Data mining, Mathematics

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