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International Conference on Rough Sets and Knowledge Technology

RSKT 2011: Rough Sets and Knowledge Technology pp 71–80Cite as

A Novel Attribute Reduction Approach Based on the Object Oriented Concept Lattice

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

Abstract

Attribute reduction is one basic issue in the analysis of information tables. In this paper, the approaches to attribute reduction in formal context based on the object oriented concept lattice are investigated. We first introduce the notions of context matrix and the operations of corresponding column vectors. Then present some judgment theorems for attribute reduction in formal contexts. Based on the judgment theorems, we propose an attribute reduction approach and show concrete reduction algorithm.

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Author information

Authors and Affiliations

  1. Computer Engineering Institute, Qingdao Technological University, Qingdao, Shandong, 266520, P.R. China

    Mingwen Shao & Lan Li

  2. College of Information Science and Technology, Shihezi University, Shihezi, Xinjiang, 832000, P.R. China

    Mingwen Shao & Li Guo

Authors
  1. Mingwen Shao
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  2. Li Guo
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  3. Lan Li
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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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Shao, M., Guo, L., Li, L. (2011). A Novel Attribute Reduction Approach Based on the Object Oriented Concept Lattice. 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_12

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  • DOI: https://doi.org/10.1007/978-3-642-24425-4_12

  • 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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