2006•Computer Technology and DevelopmentRequires access

Relative Information Quantity Representation for Attribute Reduction of Decision Tables

HU Feng-bin

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Abstract

Reduction of knowledge is one of the important topics in the research on the rough set theory.In this paper,the concept of the relative information quantity of decision table is introduced in the information system.In a consistent decision table,the equivalence properties between algebraic representation and relative information quantity representation of attribute reduction are proved.Through examples,it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by relative information quantity.This shows that relative information quantity representation is more visual than algebraic representation,but it can't displace absolutely each other.

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What this paper is about

Reduction of knowledge is one of the important topics in the research on the rough set theory.In this paper,the concept of the relative information quantity of decision table is introduced in the information system.In a consistent decision table,the equivalence properties between algebraic representation and relative information quantity representation of attribute reduction are proved.Through examples,it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by relative information quantity.This shows that relative information quantity representation is more visual than algebraic representation,but it can't displace absolutely each other.

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Available abstract

Reduction of knowledge is one of the important topics in the research on the rough set theory.In this paper,the concept of the relative information quantity of decision table is introduced in the information system.In a consistent decision table,the equivalence properties between algebraic representation and relative information quantity representation of attribute reduction are proved.Through examples,it shows that attribute reduction of an inconsistent decision table cannot entirely be represented by relative information quantity.This shows that relative information quantity representation is more visual than algebraic representation,but it can't displace absolutely each other.

Key concepts: Decision table, Representation (politics), Computer science, Rough set, Equivalence (formal languages), Table (database), Reduction (mathematics), Set (abstract data type)

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