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Upper Approximation Reduction Based on Intuitionistic Fuzzy \(\mathcal{T}\) Equivalence Information Systems

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Rough Sets and Knowledge Technology (RSKT 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7414))

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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.

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Author information

Authors and Affiliations

  1. School of Mathematics and Statistics, Chongqing University of Technology, Chongqing, 400054, P.R. China

    Weihua Xu, Yufeng Liu & Wenxin Sun

Authors
  1. Weihua Xu
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  2. Yufeng Liu
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  3. Wenxin Sun
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Editor information

Editors and Affiliations

  1. School of Information Science and Technology, Southwest Jiaotong University, 610031, Chengdu, P.R. China

    Tianrui Li

  2. Institute of Mathematics, The University of Warsaw, ul. Banacha 2, 02-097, Warsaw, Poland

    Hung Son Nguyen

  3. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, 400065, Chongqing, China

    Guoyin Wang

  4. Department of Electrical Engineering and Computer Science, University of Kansas, 66045 - 7621, Lawrence, KS, USA

    Jerzy Grzymala-Busse

  5. Department of Computing and Software, McMaster University, L8S 4K1, Hamilton, Ontario, Canada

    Ryszard Janicki

  6. Faculty of Computers and Information, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  7. Software School, Dalian University of Technology, Dalian, China

    Hong Yu

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© 2012 Springer-Verlag Berlin Heidelberg

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Xu, W., Liu, Y., Sun, W. (2012). Upper Approximation Reduction Based on Intuitionistic Fuzzy \(\mathcal{T}\) Equivalence Information Systems. In: Li, T., et al. Rough Sets and Knowledge Technology. RSKT 2012. Lecture Notes in Computer Science(), vol 7414. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31900-6_8

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  • DOI: https://doi.org/10.1007/978-3-642-31900-6_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31899-3

  • Online ISBN: 978-3-642-31900-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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