Classification using the variable precision rough set

Authors:
Yongqiang Zhao;Hongcai Zhang;Quan Pan
Affiliations:
Automatic Control Department, Northwest Ploytechnical University, Xi'an, China;Automatic Control Department, Northwest Ploytechnical University, Xi'an, China;Automatic Control Department, Northwest Ploytechnical University, Xi'an, China
Venue:
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Year:
2003

Citing 5
Cited 1

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The Knowledge Engineering Review

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Abstract

In this paper, we present a new version of discernibility matrix, so called variable precision discernibility matrix, which can tolerate the noise of information, in addition, a reduction algorithm is also presented based on the partial order relation of the conditional attribute and used to do image classification. Compared with traditional rough set and BP network, the results will be much better.