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Annals of Operations Research

, Volume 251, Issue 1–2, pp 141–160 | Cite as

Fuzzy goal programming model for classification problems

Article
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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.

Keywords

Classification problems Discriminant analysis Imprecise goal programming model Mathematical programming Fuzzy numbers 

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.MODILS Laboratory, Faculty of Economic and Management ScienceSfax UniversitySfaxTunisia
  2. 2.College of Business and EconomicsQatar UniversityDohaQatar

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