A generalized multi-granulation rough set approach

Authors:
Weihua Xu;Xiantao Zhang;Qiaorong Wang
Affiliations:
School of Mathematics and Statistics, Chongqing University of Technology, Chongqing, P.R. China;School of Mathematics and Statistics, Chongqing University of Technology, Chongqing, P.R. China;School of Mathematics and Statistics, Chongqing University of Technology, Chongqing, P.R. China
Venue:
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Year:
2011

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Abstract

A generalized multi-granulation rough set is proposed in this paper. In the new model, supporting characteristic function is defined and a parameter called information level is introduced to investigate that an object supports a concept precisely under majority granulations. Moreover, some important properties are discussed on the new multi-granulation rough set. And it can be found that the proposed model is more valid than old multiple granulation rough set models and Pawlak rough set model.