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ORG - Oblique Rules Generator

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Artificial Intelligence and Soft Computing (ICAISC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7268))

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Abstract

In this paper the new approach to generating oblique decision rules is presented. On the basis of limitations for every oblique decision rules parameters the grid of parameters values is created and then for every node of this grid the oblique condition is generated and its quality is calculated. The best oblique conditions build the oblique decision rule. Conditions are added as long as there are non-covered objects and the limitation of the length of the rule is not exceeded. All rules are generated with the idea of sequential covering.

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Author information

Authors and Affiliations

  1. Silesian University of Technology, ul. Akademicka 16, 44-100, Gliwice, Poland

    Marcin Michalak, Marek Sikora & Patryk Ziarnik

  2. Institute of Innovative Technologies EMAG, ul. Leopolda 31, 40-189, Katowice, Poland

    Marek Sikora

Authors
  1. Marcin Michalak
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  2. Marek Sikora
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  3. Patryk Ziarnik
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski , Marcin Korytkowski  & Rafał Scherer ,  & 

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, Computer Science Division, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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© 2012 Springer-Verlag Berlin Heidelberg

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Michalak, M., Sikora, M., Ziarnik, P. (2012). ORG - Oblique Rules Generator. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29350-4_18

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  • DOI: https://doi.org/10.1007/978-3-642-29350-4_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29349-8

  • Online ISBN: 978-3-642-29350-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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