Data Processing in Attributes Reduction Based on Rough Sets and FCA

Zhi Hao Peng; Wei Luo; An Sheng Deng

doi:10.4028/www.scientific.net/AMR.1014.480

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1014Data Processing in Attributes Reduction Based on...

Data Processing in Attributes Reduction Based on Rough Sets and FCA

Abstract:

Knowledge reduction is one of the basic contents in rough set theory and the most challenging problem in knowledge acquisition. In this paper, an algorithm is proposed, which aims to get all the reducts based on the attributes of the formal context. Experiments show that the algorithm is sound and accurate. Finally, further work and future perspectives are discussed.

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Periodical:

Advanced Materials Research (Volume 1014)

Pages:

480-483

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1014.480

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Online since:

July 2014

Authors:

Zhi Hao Peng, Wei Luo, An Sheng Deng*

Keywords:

Attribute Reduction, Concept Lattice, FCA

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* - Corresponding Author

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