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An Interpretation of Rough Sets in Incomplete Information Systems within Intuitionistic Fuzzy Sets

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Rough Sets and Knowledge Technology (RSKT 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5589))

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Abstract

The intuitionistic fuzzy rough set is introduced in an attempt to solve certain problems in incomplete information systems. Some properties of the corresponding intuitionistic fuzzy set are studied and application of the intuitionistic fuzzy set is explored by illustrations.

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Author information

Authors and Affiliations

  1. School of Mathematics, Physics & Information Science, Zhejiang Ocean University, Zhoushan, Zhejiang, 316004, P.R. China

    Xiao-Ping Yang

Authors
  1. Xiao-Ping Yang
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Editor information

Editors and Affiliations

  1. Faculty of Engineering and Surveying and Engineering, University of Southern Queensland, QLD 4350, Australia

    Peng Wen

  2. School of Information Technology, Queensland University of Technology, QLD 4001, Brisbane, Australia

    Yuefeng Li

  3. Institute of Mathematics, Warsaw University of Technology, Koszykowa 86, 02008, Warsaw, Poland

    Lech Polkowski

  4. Department of Computer Science, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada

    Yiyu Yao

  5. Faculty of Medicine, Department of Medical Informatics, Shimane University, 89-1 Enya-cho, Izumo, 693-8501, Shimane, Japan

    Shusaku Tsumoto

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

    Guoyin Wang

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© 2009 Springer-Verlag Berlin Heidelberg

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Yang, XP. (2009). An Interpretation of Rough Sets in Incomplete Information Systems within Intuitionistic Fuzzy Sets. In: Wen, P., Li, Y., Polkowski, L., Yao, Y., Tsumoto, S., Wang, G. (eds) Rough Sets and Knowledge Technology. RSKT 2009. Lecture Notes in Computer Science(), vol 5589. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02962-2_41

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  • DOI: https://doi.org/10.1007/978-3-642-02962-2_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02961-5

  • Online ISBN: 978-3-642-02962-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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