2006•Dali Xueyuan xuebaoRequires access

An Information Represention for Attribute Reduction Based on Rough Set Theory

Yang Pei-liang

Open publisher page 0 citations

Abstract

Professor Hu Guoding proposed a method of measuring information based on the philosophy that connotation and denotation of a concept satisfies inverse ratio rule.In this paper,we discuss the relationships between attribute reduction and information quantity based on the rough set theory and the information measurement proposed by professor Hu.And also we prove that the attribute reduction with algebraic and information representation is equivalent in a consistent decision table.Through example,it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by information quantity.

About this research paper

What this paper is about

Professor Hu Guoding proposed a method of measuring information based on the philosophy that connotation and denotation of a concept satisfies inverse ratio rule.In this paper,we discuss the relationships between attribute reduction and information quantity based on the rough set theory and the information measurement proposed by professor Hu.And also we prove that the attribute reduction with algebraic and information representation is equivalent in a consistent decision table.Through example,it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by information quantity.

Why it matters

A significance statement is not available in the OpenAlex record.

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

Professor Hu Guoding proposed a method of measuring information based on the philosophy that connotation and denotation of a concept satisfies inverse ratio rule.In this paper,we discuss the relationships between attribute reduction and information quantity based on the rough set theory and the information measurement proposed by professor Hu.And also we prove that the attribute reduction with algebraic and information representation is equivalent in a consistent decision table.Through example,it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by information quantity.

Key concepts: Rough set, Denotation (semiotics), Decision table, Reduction (mathematics), Connotation, Representation (politics), Set (abstract data type), Mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
An Information Represention for Attribute Reduction Based on Rough Set Theory — Research Paper | ScholarLens