Upper approximation reduction based on intuitionistic fuzzy T equivalence information systems

Authors:
Weihua Xu;Yufeng Liu;Wenxin Sun
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:
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Year:
2012

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Abstract

Attribute reduction, as one research problem, has played an important role in rough set theory. In this paper, the concept of upper approximation reduction is introduced in intuitionistic fuzzy $\mathcal{T}$ equivalence information systems. Moreover, rough set approach to upper approximation reduction is presented, and the judgement theorems and discernibility matrices are obtained in intuitionistic fuzzy $\mathcal{T}$ equivalence information systems. An example illustrates the validity of the approach, and shows that it is an efficient tool for knowledge discovery in intuitionistic fuzzy $\mathcal{T}$ equivalence information systems.