Classification and Decision Based on Parallel Reducts and F-Rough Sets

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• 作者：Dayong Deng (1) dayongd@163.com
  Lin Chen (1) chenlin12345666@126.com
  Dianxun Yan (1) yandianxun@163.com
• 关键词：F ; Rough Sets – ; Parallel Reducts – ; Classifying – ; Deciding
• 刊名：Lecture Notes in Computer Science
• 出版年：2012
• 出版时间：2012
• 年：2012
• 卷：7414
• 期：1
• 页码：117-122
• 全文大小：137.6 KB
• 参考文献：1. Pawlak, Z.: Rough Sets-Theoretical Aspect of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)
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• 作者单位：1. College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, 321004 Zhejiang, China
• ISSN：1611-3349

文摘

F-rough sets are new rough set model, which is consistent with parallel reducts. In this paper, the methods of classification (decision) with parallel reducts and F-rough sets are discussed. Unlike Pawlak rough sets or other rough set models, there may be many benchmarks for classifying(deciding). Three strategies for classifying(deciding) are proposed, including specific decision subsystem, decision subsystem selected randomly and deciding by a majority vote.