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A combinatorial approach to the classification problem

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  • Yanev, N.
  • Balev, S.

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  • Yanev, N. & Balev, S., 1999. "A combinatorial approach to the classification problem," European Journal of Operational Research, Elsevier, vol. 115(2), pages 339-350, June.
    • Handle: RePEc:eee:ejores:v:115:y:1999:i:2:p:339-350
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    References listed on IDEAS

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    1. Freed, Ned & Glover, Fred, 1981. "Simple but powerful goal programming models for discriminant problems," European Journal of Operational Research, Elsevier, vol. 7(1), pages 44-60, May.
    2. Markowski, Carol A. & Markowski, Edward P., 1987. "An experimental comparison of several approaches to the discriminant problem with both qualitative and quantitative variables," European Journal of Operational Research, Elsevier, vol. 28(1), pages 74-78, January.
    3. Abad, P. L. & Banks, W. J., 1993. "New LP based heuristics for the classification problem," European Journal of Operational Research, Elsevier, vol. 67(1), pages 88-100, May.
    4. Stam, Antonie & Joachimsthaler, Erich A., 1990. "A comparison of a robust mixed-integer approach to existing methods for establishing classification rules for the discriminant problem," European Journal of Operational Research, Elsevier, vol. 46(1), pages 113-122, May.
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    Cited by:

    1. Sueyoshi, Toshiyuki & Goto, Mika, 2009. "DEA-DA for bankruptcy-based performance assessment: Misclassification analysis of Japanese construction industry," European Journal of Operational Research, Elsevier, vol. 199(2), pages 576-594, December.
    2. Mingue Sun, 2009. "Liquidity Risk and Financial Competition: A Mixed Integer Programming Model for Multiple-Class Discriminant Analysis," Working Papers 0102, College of Business, University of Texas at San Antonio.
    3. Sueyoshi, Toshiyuki, 2006. "DEA-Discriminant Analysis: Methodological comparison among eight discriminant analysis approaches," European Journal of Operational Research, Elsevier, vol. 169(1), pages 247-272, February.
    4. Saïd Hanafi & Nicola Yanev, 2011. "Tabu search approaches for solving the two-group classification problem," Annals of Operations Research, Springer, vol. 183(1), pages 25-46, March.
    5. Zopounidis, Constantin & Doumpos, Michael, 2002. "Multicriteria classification and sorting methods: A literature review," European Journal of Operational Research, Elsevier, vol. 138(2), pages 229-246, April.
    6. Pendharkar, Parag C., 2001. "An empirical study of design and testing of hybrid evolutionary-neural approach for classification," Omega, Elsevier, vol. 29(4), pages 361-374, August.
    7. Pedro Duarte Silva, A., 2017. "Optimization approaches to Supervised Classification," European Journal of Operational Research, Elsevier, vol. 261(2), pages 772-788.
    8. Mingue Sun, 2009. "Liquidity Risk and Financial Competition: A Mixed Integer Programming Model for Multiple-Class Discriminant Analysis," Working Papers 0102, College of Business, University of Texas at San Antonio.
    9. Sueyoshi, Toshiyuki, 2004. "Mixed integer programming approach of extended DEA-discriminant analysis," European Journal of Operational Research, Elsevier, vol. 152(1), pages 45-55, January.

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