2011Computer Engineering and Applications JournalRequires access

New method of attribute reduction algorithm for inconsistent decision table

Haitao Liu, Zhai Jingmei, Xiao Xu

Open publisher page 1 citations

Abstract

In order to solve the disadvantages of the attribute reduction algorithm for inconsistent decision table,combining information view and the algebra view in rough set,the discernibility matrix is improved,a new method of attribute reduction algorithm is presented,which reduces the time complexity in the case of the positive regions and information entropy unchanged after attribute reduction.The example of computing and analyzing with the proposed method shows its advantages and feasibility.

About this research paper

What this paper is about

In order to solve the disadvantages of the attribute reduction algorithm for inconsistent decision table,combining information view and the algebra view in rough set,the discernibility matrix is improved,a new method of attribute reduction algorithm is presented,which reduces the time complexity in the case of the positive regions and information entropy unchanged after attribute reduction.The example of computing and analyzing with the proposed method shows its advantages and feasibility.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In order to solve the disadvantages of the attribute reduction algorithm for inconsistent decision table,combining information view and the algebra view in rough set,the discernibility matrix is improved,a new method of attribute reduction algorithm is presented,which reduces the time complexity in the case of the positive regions and information entropy unchanged after attribute reduction.The example of computing and analyzing with the proposed method shows its advantages and feasibility.

Key concepts: Rough set, Decision table, Reduction (mathematics), Entropy (arrow of time), Attribute domain, Algorithm, Computer science, Matrix (chemical analysis)

Related papers

Back to paper searchBrowse research topicsOriginal source
New method of attribute reduction algorithm for inconsistent decision table — Research Paper | ScholarLens