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A Generalization of Near Set Model

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Rough Sets and Knowledge Technology (RSKT 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6954))

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Abstract

In the classical near set model, the probe functions described by a single assertion (feature) subset, which are established through a single granulation from the view of granular computing. In this work, we aim to extend Peters’s near set model to a multi-granulation near set model, in which the probe functions are some expression of the set of assertions (features) logically compounded under logic operation “or”. Moreover, near lower and upper approximations are defined by using the neighborhoods based on AFS description logics.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Dalian Maritime University, Dalian, 116026, People’s Republic of China

    Lidong Wang, Xiaodong Liu & Xiaojuan Tian

Authors
  1. Lidong Wang
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  2. Xiaodong Liu
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  3. Xiaojuan Tian
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Editor information

Editors and Affiliations

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

    JingTao Yao

  2. Department of Applied Computer Science, University of Winnipeg, R3B 2E9, Winnipeg, Canada

    Sheela Ramanna

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

    Guoyin Wang

  4. Chair of Computer Science, University of Rzeszów, Poland

    Zbigniew Suraj

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© 2011 Springer-Verlag Berlin Heidelberg

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Wang, L., Liu, X., Tian, X. (2011). A Generalization of Near Set Model. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds) Rough Sets and Knowledge Technology. RSKT 2011. Lecture Notes in Computer Science(), vol 6954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24425-4_70

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  • DOI: https://doi.org/10.1007/978-3-642-24425-4_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24424-7

  • Online ISBN: 978-3-642-24425-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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