2004•Acta Scientiarum Naturalium Universitatis SunyatseniRequires access

An Improved Heuristic Algorithm of Attribute Reduction in Rough Set

ShunxiangWu, MaoqingLi, WentingHuang, SifengLiu

Open publisher page 11 citations

Abstract

This paper introduces background of rough set theory, then proposes a new algorithm for finding optimal reduction and make comparison between the original algorithm and the improved one by the experiment about the nine standard data set in UL database to explain the validity of the improved heuristic algorithm.

About this research paper

What this paper is about

This paper introduces background of rough set theory, then proposes a new algorithm for finding optimal reduction and make comparison between the original algorithm and the improved one by the experiment about the nine standard data set in UL database to explain the validity of the improved heuristic algorithm.

Why it matters

OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

This paper introduces background of rough set theory, then proposes a new algorithm for finding optimal reduction and make comparison between the original algorithm and the improved one by the experiment about the nine standard data set in UL database to explain the validity of the improved heuristic algorithm.

Key concepts: Rough set, Reduction (mathematics), Heuristic, Algorithm, Set (abstract data type), Computer science, Null-move heuristic, Data set

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