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Generalized Distribution Reduction in Inconsistent Decision Systems Based on Dominance Relations

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6401))

Abstract

By incorporating dominance principle in inconsistent decision systems based on dominance relations, two new types of distribution reductions are proposed, i.e., generalized distribution reduction and generalized maximum distribution reduction, and their properties and relationship are also discussed. The corresponding generalized distribution discernibility matrix is then defined to provide a convenient computation method to obtain the generalized distribution reductions. The validation of this method is showed by both theoretical proofs and illustrative examples.

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Li, Y., Zhao, J., Sun, NX., Pal, S.K. (2010). Generalized Distribution Reduction in Inconsistent Decision Systems Based on Dominance Relations. In: Yu, J., Greco, S., Lingras, P., Wang, G., Skowron, A. (eds) Rough Set and Knowledge Technology. RSKT 2010. Lecture Notes in Computer Science(), vol 6401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16248-0_25

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  • DOI: https://doi.org/10.1007/978-3-642-16248-0_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16247-3

  • Online ISBN: 978-3-642-16248-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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