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Dynamic Reduction Based on Rough Sets in Incomplete Decision Systems

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Rough Sets and Knowledge Technology (RSKT 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4481))

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Abstract

In this paper we investigate the dynamic characteristics in an incomplete decision system while information is increasing. We modify the definition of reduction of condition attributes in this case, and present algorithms of reduction in order to deal with increase information.

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Authors and Affiliations

Authors

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JingTao Yao Pawan Lingras Wei-Zhi Wu Marcin Szczuka Nick J. Cercone Dominik Ślȩzak

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Deng, D., Huang, H. (2007). Dynamic Reduction Based on Rough Sets in Incomplete Decision Systems. In: Yao, J., Lingras, P., Wu, WZ., Szczuka, M., Cercone, N.J., Ślȩzak, D. (eds) Rough Sets and Knowledge Technology. RSKT 2007. Lecture Notes in Computer Science(), vol 4481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72458-2_9

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  • DOI: https://doi.org/10.1007/978-3-540-72458-2_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72457-5

  • Online ISBN: 978-3-540-72458-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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