2010•Unpublished venueRequires access

Research of Discernible Matrix-Based Algorithm for Attribute Value Reduction

Baowei Zhang, Na Wang

Abstract

The essence and process of attribute value reduction is analyzed from the view of logic. Then a new algorithm for attribute value reduction based on rough set is proposed by constructing a discernible matrix and the correctness and feasibility is proved. In addition, the experiment shows that the algorithm is effective and it is easy to be realized by programming. Not only it can get more concise decision rules, but also it doesn't break the information of inconsistent decision rules.

About this research paper

What this paper is about

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

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