A general approach to attribute reduction in rough set theory |
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作者单位: | ZHANG WenXiuiu(Institute for Information and System Sciences, Faculty of Science, Xi'an Jiaotong University, Xi'an 710049, China) ;
QIU GuoFang(School of Management, Xi'an University of Architecture and Technology, Xi'an 710055, China) ;
WU WeiZhi(Information College, Zhejiang Ocean University, Zhoushan 316004, China) ; |
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基金项目: | 国家重点基础研究发展计划(973计划);国家自然科学基金 |
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摘 要: | The concept of a consistent approximation representation space is introduced. Many types of information systems can be treated and unified as consistent ap- proximation representation spaces. At the same time, under the framework of this space, the judgment theorem for determining consistent attribute set is established, from which we can obtain the approach to attribute reductions in information systems. Also, the characterizations of three important types of attribute sets (the core attribute set, the relative necessary attribute set and the unnecessary attribute set) are examined.
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收稿时间: | 8 October 2005 |
修稿时间: | 8 January 2007 |
A general approach to attribute reduction in rough set theory |
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Authors: | Zhang WenXiu Qiu GuoFang Wu WeiZhi |
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Affiliation: | 1. Institute for Information and System Sciences, Faculty of Science, Xi'an Jiaotong University, Xi'an 710049, China 2. School of Management, Xi'an University of Architecture and Technology, Xi'an 710055, China 3. Information College, Zhejiang Ocean University, Zhoushan 316004, China |
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Abstract: | The concept of a consistent approximation representation space is introduced. Many types of information systems can be treated and unified as consistent ap- proximation representation spaces. At the same time, under the framework of this space, the judgment theorem for determining consistent attribute set is established, from which we can obtain the approach to attribute reductions in information systems. Also, the characterizations of three important types of attribute sets (the core attribute set, the relative necessary attribute set and the unnecessary attribute set) are examined. |
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Keywords: | rough sets attribute reduction information systems approximation representation spaces |
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