Attribute Reduction Based on Consistent Covering Rough Set and Its Application
As an important processing step for rough set theory, attribute reduction aims at eliminating data redundancy and drawing useful information. Covering rough set, as a generalization of classical rough set theory, has attracted wide attention on both theory and application. By using the covering roug...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2017/8986917 |
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| _version_ | 1832557037498662912 |
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| author | Jianchuan Bai Kewen Xia Yongliang Lin Panpan Wu |
| author_facet | Jianchuan Bai Kewen Xia Yongliang Lin Panpan Wu |
| author_sort | Jianchuan Bai |
| collection | DOAJ |
| description | As an important processing step for rough set theory, attribute reduction aims at eliminating data redundancy and drawing useful information. Covering rough set, as a generalization of classical rough set theory, has attracted wide attention on both theory and application. By using the covering rough set, the process of continuous attribute discretization can be avoided. Firstly, this paper focuses on consistent covering rough set and reviews some basic concepts in consistent covering rough set theory. Then, we establish the model of attribute reduction and elaborate the steps of attribute reduction based on consistent covering rough set. Finally, we apply the studied method to actual lagging data. It can be proved that our method is feasible and the reduction results are recognized by Least Squares Support Vector Machine (LS-SVM) and Relevance Vector Machine (RVM). Furthermore, the recognition results are consistent with the actual test results of a gas well, which verifies the effectiveness and efficiency of the presented method. |
| format | Article |
| id | doaj-art-897407b9bf164f36a88d55470fcde9ed |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-897407b9bf164f36a88d55470fcde9ed2025-02-03T05:43:45ZengWileyComplexity1076-27871099-05262017-01-01201710.1155/2017/89869178986917Attribute Reduction Based on Consistent Covering Rough Set and Its ApplicationJianchuan Bai0Kewen Xia1Yongliang Lin2Panpan Wu3School of Electronics and Information Engineering, Hebei University of Technology, Tianjin, ChinaSchool of Electronics and Information Engineering, Hebei University of Technology, Tianjin, ChinaSchool of Electronics and Information Engineering, Hebei University of Technology, Tianjin, ChinaSchool of Electronics and Information Engineering, Hebei University of Technology, Tianjin, ChinaAs an important processing step for rough set theory, attribute reduction aims at eliminating data redundancy and drawing useful information. Covering rough set, as a generalization of classical rough set theory, has attracted wide attention on both theory and application. By using the covering rough set, the process of continuous attribute discretization can be avoided. Firstly, this paper focuses on consistent covering rough set and reviews some basic concepts in consistent covering rough set theory. Then, we establish the model of attribute reduction and elaborate the steps of attribute reduction based on consistent covering rough set. Finally, we apply the studied method to actual lagging data. It can be proved that our method is feasible and the reduction results are recognized by Least Squares Support Vector Machine (LS-SVM) and Relevance Vector Machine (RVM). Furthermore, the recognition results are consistent with the actual test results of a gas well, which verifies the effectiveness and efficiency of the presented method.http://dx.doi.org/10.1155/2017/8986917 |
| spellingShingle | Jianchuan Bai Kewen Xia Yongliang Lin Panpan Wu Attribute Reduction Based on Consistent Covering Rough Set and Its Application Complexity |
| title | Attribute Reduction Based on Consistent Covering Rough Set and Its Application |
| title_full | Attribute Reduction Based on Consistent Covering Rough Set and Its Application |
| title_fullStr | Attribute Reduction Based on Consistent Covering Rough Set and Its Application |
| title_full_unstemmed | Attribute Reduction Based on Consistent Covering Rough Set and Its Application |
| title_short | Attribute Reduction Based on Consistent Covering Rough Set and Its Application |
| title_sort | attribute reduction based on consistent covering rough set and its application |
| url | http://dx.doi.org/10.1155/2017/8986917 |
| work_keys_str_mv | AT jianchuanbai attributereductionbasedonconsistentcoveringroughsetanditsapplication AT kewenxia attributereductionbasedonconsistentcoveringroughsetanditsapplication AT yonglianglin attributereductionbasedonconsistentcoveringroughsetanditsapplication AT panpanwu attributereductionbasedonconsistentcoveringroughsetanditsapplication |