A Heuristic Attribute Reduction Based on Multi-Granularity Rough Set

Zhi Li Pei; Jian Hong Qi; Li Sha Liu; Qing Hu Wang; Ming Yang Jiang; Xun Wang

doi:10.4028/www.scientific.net/AMM.513-517.973

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517A Heuristic Attribute Reduction Based on...

A Heuristic Attribute Reduction Based on Multi-Granularity Rough Set

Abstract:

In 2012, Wang Zuofei built up granularity-function and applied it to the measure of attribute importance and attribute reduction. On this basis, granularity-function based upon pessimistic and optimistic multi-granularity rough set is constructed. It is applied to the calculation of attribute importance and attribute reduction. According to the experimental results, the method can reduce the dimension of features and obviously improve the classification accuracy and efficiency.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

973-977

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.973

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Online since:

February 2014

Authors:

Zhi Li Pei, Jian Hong Qi, Li Sha Liu, Qing Hu Wang, Ming Yang Jiang, Xun Wang*

Keywords:

Granularity-Function, Optimistic Multi-Granularity, Pessimistic Multi-Granularity

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* - Corresponding Author

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