Classification using the variable precision rough set

Yongqiang Zhao; Hongcai Zhang; Quan Pan

doi:10.1007/3-540-39205-x_55

Classification using the variable precision rough set

Yongqiang Zhao, Hongcai Zhang, Quan Pan

School of Automation

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 9th International Conference, RSFDGrC 2003, Proceedings
Editors	Guoyin Wang, Qing Liu, Yiyu Yao, Andrzej Skowron
Publisher	Springer Verlag
Pages	350-353
Number of pages	4
ISBN (Print)	3540140409, 9783540140405
DOIs	https://doi.org/10.1007/3-540-39205-x_55
State	Published - 2003
Event	9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2003 - Chongqing, China Duration: 26 May 2003 → 29 May 2003

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2639
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2003
Country/Territory	China
City	Chongqing
Period	26/05/03 → 29/05/03

Access to Document

10.1007/3-540-39205-x_55

Cite this

Zhao, Y., Zhang, H., & Pan, Q. (2003). Classification using the variable precision rough set. In G. Wang, Q. Liu, Y. Yao, & A. Skowron (Eds.), Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 9th International Conference, RSFDGrC 2003, Proceedings (pp. 350-353). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2639). Springer Verlag. https://doi.org/10.1007/3-540-39205-x_55

Zhao, Yongqiang ; Zhang, Hongcai ; Pan, Quan. / Classification using the variable precision rough set. Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 9th International Conference, RSFDGrC 2003, Proceedings. editor / Guoyin Wang ; Qing Liu ; Yiyu Yao ; Andrzej Skowron. Springer Verlag, 2003. pp. 350-353 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

author = "Yongqiang Zhao and Hongcai Zhang and Quan Pan",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.; 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2003 ; Conference date: 26-05-2003 Through 29-05-2003",

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doi = "10.1007/3-540-39205-x_55",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Zhao, Y, Zhang, H & Pan, Q 2003, Classification using the variable precision rough set. in G Wang, Q Liu, Y Yao & A Skowron (eds), Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 9th International Conference, RSFDGrC 2003, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2639, Springer Verlag, pp. 350-353, 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2003, Chongqing, China, 26/05/03. https://doi.org/10.1007/3-540-39205-x_55

Classification using the variable precision rough set. / Zhao, Yongqiang; Zhang, Hongcai; Pan, Quan.
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 9th International Conference, RSFDGrC 2003, Proceedings. ed. / Guoyin Wang; Qing Liu; Yiyu Yao; Andrzej Skowron. Springer Verlag, 2003. p. 350-353 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2639).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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.

AB - 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.

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SN - 9783540140405

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Zhao Y, Zhang H, Pan Q. Classification using the variable precision rough set. In Wang G, Liu Q, Yao Y, Skowron A, editors, Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 9th International Conference, RSFDGrC 2003, Proceedings. Springer Verlag. 2003. p. 350-353. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-39205-x_55

Classification using the variable precision rough set

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