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International Conference on Rough Sets and Current Trends in Computing

RSCTC 2000: Rough Sets and Current Trends in Computing pp 304–313Cite as

An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2005))

Abstract

Induction of decision rules within the dominance-based rough set approach to the multiple-criteria sorting decision problem is discussed in this paper. We introduce an algorithm called DOMLEM that induces a minimal set of generalized decision rules consistent with the dominance principle. An extension of this algorithm for a variable consistency model of dominance based rough set approach is also presented.

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References

  1. Greco, S., Matarazzo B., Slowinski R., The use of rough sets and fuzzy sets in MCDM. In T. Gal, T. Stewart and T. Hanne (eds.) Advances in Multiple Criteria Decision Making, chapter 14, pp. 14.1–14.59. Kluwer Academic Publishers 1999.

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  2. Greco, S., Matarazzo B., Slowinski R., Stefanowski J., Variable consistency model of dominance-based rough set approach; submitted to RSCTC'2000 conference, Banff 2000.

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Author information

Authors and Affiliations

  1. ߢFaculty of Economics, University of Catania, Corso Italia 55, 95 129, Catania, Italy

    Salvatore Greco & Benedetto Matarazzo

  2. Institute of Computing Science, Poznan University of Technology, 3A Piotrowo Street, 60-965, Poznan, Poland

    Roman Slowinski & Jerzy Stefanowski

Authors
  1. Salvatore Greco
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  2. Benedetto Matarazzo
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  3. Roman Slowinski
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  4. Jerzy Stefanowski
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Editor information

Editors and Affiliations

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

    Wojciech Ziarko  & Yiyu Yao  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Cite this paper

Greco, S., Matarazzo, B., Slowinski, R., Stefanowski, J. (2001). An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_37

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  • DOI: https://doi.org/10.1007/3-540-45554-X_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43074-2

  • Online ISBN: 978-3-540-45554-7

  • eBook Packages: Springer Book Archive

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