Classification and decision based on parallel reducts and f-rough sets

Authors:
Dayong Deng;Lin Chen;Dianxun Yan
Affiliations:
College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, Zhejiang, China;College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, Zhejiang, China;College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, Zhejiang, China
Venue:
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Year:
2012

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Abstract

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.