2008Journal of Chongqing University of Science and TechnologyRequires access

An Algorithm for Attribute Reduction Based on Attribute Significance

Weihua Gui

Open publisher page 1 citations

Abstract

The reduction of attributes is a core contents of Rough Set theory.It is proved that computing all the reduction and the optimal reduction of decision table is a NP typical problem.In this paper,heuristic algorithm is deeply investigated and an improved algorithm is proposed.An example shows the algorithm's efficiency.

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What this paper is about

The reduction of attributes is a core contents of Rough Set theory.It is proved that computing all the reduction and the optimal reduction of decision table is a NP typical problem.In this paper,heuristic algorithm is deeply investigated and an improved algorithm is proposed.An example shows the algorithm's efficiency.

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Available abstract

The reduction of attributes is a core contents of Rough Set theory.It is proved that computing all the reduction and the optimal reduction of decision table is a NP typical problem.In this paper,heuristic algorithm is deeply investigated and an improved algorithm is proposed.An example shows the algorithm's efficiency.

Key concepts: Reduction (mathematics), Rough set, Decision table, Heuristic, Algorithm, Core (optical fiber), Set (abstract data type), Computer science

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