2004Journal of Xidian UniversityRequires access

A noval rough set theory-based decision table discretization algorithm

Zhang Jian-jun

Open publisher page 2 citations

Abstract

The application of the rough set theory in the discretization of the decision table is studied, and a noval discretization algorithm based on the rough set theory is presented. The algorithm of this paper is based on the importance of condition attributes. Firstly, the inter-information between condition attributes and decision attributes is used to measure the importance of condition attributes, according to which the condition attributes are sorted in a descending order. Secondly, all break points of every condition attributes are examined and the redundant ones are eliminated. Finally, each value in the decision table is replaced by a number representing the break point, and then the decision table is discretized.

About this research paper

What this paper is about

The application of the rough set theory in the discretization of the decision table is studied, and a noval discretization algorithm based on the rough set theory is presented. The algorithm of this paper is based on the importance of condition attributes. Firstly, the inter-information between condition attributes and decision attributes is used to measure the importance of condition attributes, according to which the condition attributes are sorted in a descending order. Secondly, all break points of every condition attributes are examined and the redundant ones are eliminated. Finally, each value in the decision table is replaced by a number representing the break point, and then the decision table is discretized.

Why it matters

OpenAlex reports 2 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

The application of the rough set theory in the discretization of the decision table is studied, and a noval discretization algorithm based on the rough set theory is presented. The algorithm of this paper is based on the importance of condition attributes. Firstly, the inter-information between condition attributes and decision attributes is used to measure the importance of condition attributes, according to which the condition attributes are sorted in a descending order. Secondly, all break points of every condition attributes are examined and the redundant ones are eliminated. Finally, each value in the decision table is replaced by a number representing the break point, and then the decision table is discretized.

Key concepts: Rough set, Discretization, Decision table, Discretization of continuous features, Table (database), Mathematics, Dominance-based rough set approach, Set (abstract data type)

Related papers

Back to paper searchBrowse research topicsOriginal source
A noval rough set theory-based decision table discretization algorithm — Research Paper | ScholarLens