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Fuzzy goal programming model for classification problems

Author

Listed:
  • Soulef Smaoui

    (Sfax University)

  • Belaid Aouni

    (Qatar University)

Abstract

The aim of this paper is to propose a new approach, based on fuzzy goal programming, for classification problems where the cut-off value c corresponding to the discriminant axe is considered as imprecise. The fuzziness was handled through different membership functions. The proposed model will be illustrated through two and multi-groups classification problems.

Suggested Citation

  • Soulef Smaoui & Belaid Aouni, 2017. "Fuzzy goal programming model for classification problems," Annals of Operations Research, Springer, vol. 251(1), pages 141-160, April.
    • Handle: RePEc:spr:annopr:v:251:y:2017:i:1:d:10.1007_s10479-015-1908-3
    DOI: 10.1007/s10479-015-1908-3
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    References listed on IDEAS

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