2012•Unpublished venueRequires access

A quick value reduction algorithm of rough set

Xiaofan Wang, Baoshu Wang

Open publisher page 1 citations

Abstract

In order to get a value reduction quickly, this paper puts forwards a new algorithm of value reduction based on attribute-value-tree model in attribute order and proves it's correctness. A attribute reduction and value reduction can be got quickly at the same time from a discrete table in this algorithm. The computational complexity of reduction is changed to O(|U|2|C|) where |U| and |C| are the number of objects and attributes. It is fit to process large data and validated to improve the efficiency by tests.

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What this paper is about

In order to get a value reduction quickly, this paper puts forwards a new algorithm of value reduction based on attribute-value-tree model in attribute order and proves it's correctness. A attribute reduction and value reduction can be got quickly at the same time from a discrete table in this algorithm. The computational complexity of reduction is changed to O(|U|2|C|) where |U| and |C| are the number of objects and attributes. It is fit to process large data and validated to improve the efficiency by tests.

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Available abstract

In order to get a value reduction quickly, this paper puts forwards a new algorithm of value reduction based on attribute-value-tree model in attribute order and proves it's correctness. A attribute reduction and value reduction can be got quickly at the same time from a discrete table in this algorithm. The computational complexity of reduction is changed to O(|U|2|C|) where |U| and |C| are the number of objects and attributes. It is fit to process large data and validated to improve the efficiency by tests.

Key concepts: Correctness, Reduction (mathematics), Value (mathematics), Rough set, Algorithm, Set (abstract data type), Computer science, Table (database)

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