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Formal Concept Analysis Based on Rough Set Theory and a Construction Algorithm of Rough Concept Lattice

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Book cover Emerging Research in Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 237))

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Abstract

FCA(Formal Concept Analysis), which is accurate and complete in knowledge representation, is an effective tool for data analysis and knowledge discovery. A new lattice structure named RCL (Rough Concept Lattice) is presented. Using the approximation method of rough sets, we described the extent as approximation extent so that it can deal with uncertainty knowledge. In the end, a construction algorithm CARCL is provided based on it.

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References

  1. Wille, R.: Restructuring lattice theory: an approach based on hierarchies of concepts. M. Rival I Ordered Sets, 415–470 (1982)

    Google Scholar 

  2. Hu, K., Lu, Y., Shi, C.: Advances in concept lattice and its application. Tsinghua Univ. (Sci. & Tech.) 40(9), 77–81 (2000)

    Google Scholar 

  3. Godin, R.: Incremental concept formation algorithm based on Galois(concept) lattices. Computational Intelligence 11(2), 246–267 (1995)

    Article  Google Scholar 

  4. Xie, Z.-P., Liu, Z.-T.: A Fast Incremental Algorithm for Building Concept Lattice. J. Chinese J.Computers 25(5), 490–496 (2002)

    MathSciNet  Google Scholar 

  5. Qu, K.-S., Zhai, Y.-H., Liang, J.-Y., Li, D.-Y.: Representation and Extension of Rough Set Theory Based on Formal Concept Analysis. Journal of Software 18(9), 2174–2182 (2007)

    Article  MATH  Google Scholar 

  6. Qiang, Y., Liu, Z.-t., Lin, W., Shi, B.-s., Li, Y.: Research on Fuzzy Concept Lattice in Knowledge Discovery and a Construction Algorithm. Acta Electronica Sinica 33(2), 350–353 (2005)

    Google Scholar 

  7. Qiu, W.-g., Zhang, G.-d.: Formal Concept Lattice Based on Composition Rough Operator. Computer Engineering 34(24), 16–18 (2008)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, TaiYuan University of Science and Technology, TaiYuan, People’s Republic of China

    Haifeng Yang

Authors
  1. Haifeng Yang
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Editor information

Editors and Affiliations

  1. School of Business Information technology, RMIT University, GPO Box 2476V, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  2. Department of Computer Science and Technology, Tongji University, Shanghai, China

    Duoqian Miao

  3. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan, Hong Kong, SAR, China

    Fu Lee Wang

  4. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

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© 2011 Springer-Verlag Berlin Heidelberg

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Yang, H. (2011). Formal Concept Analysis Based on Rough Set Theory and a Construction Algorithm of Rough Concept Lattice. In: Deng, H., Miao, D., Wang, F.L., Lei, J. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2011. Communications in Computer and Information Science, vol 237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24282-3_32

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  • DOI: https://doi.org/10.1007/978-3-642-24282-3_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24281-6

  • Online ISBN: 978-3-642-24282-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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