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Fuzzy scores of technical efficiency

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  • Hougaard, Jens Leth

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  • Hougaard, Jens Leth, 1999. "Fuzzy scores of technical efficiency," European Journal of Operational Research, Elsevier, vol. 115(3), pages 529-541, June.
  • Handle: RePEc:eee:ejores:v:115:y:1999:i:3:p:529-541
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    References listed on IDEAS

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    1. Grosskopf, S, 1986. "The Role of the Reference Technology in Measuring Productive Efficiency," Economic Journal, Royal Economic Society, vol. 96(382), pages 499-513, June.
    2. Charnes, A. & Cooper, W. W. & Huang, Z. M. & Sun, D. B., 1990. "Polyhedral Cone-Ratio DEA Models with an illustrative application to large commercial banks," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 73-91.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. TRIANTIS, Konstantinos & VANDEN EECKAUT, Philippe, 1996. "Fuzzy Pairwise Dominance and Implications for Technical Efficiency Performance Assessment," LIDAM Discussion Papers CORE 1996036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Thompson, Russell G. & Langemeier, Larry N. & Lee, Chih-Tah & Lee, Euntaik & Thrall, Robert M., 1990. "The role of multiplier bounds in efficiency analysis with application to Kansas farming," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 93-108.
    6. Smolyak, Sergey A., 1994. "Comparison criteria for fuzzy alternatives," Mathematical Social Sciences, Elsevier, vol. 27(2), pages 185-202, April.
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    Cited by:

    1. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    2. D'Urso, Pierpaolo & Giordani, Paolo, 2003. "A possibilistic approach to latent structure analysis for symmetric fuzzy data," Economics & Statistics Discussion Papers esdp03014, University of Molise, Dept. EGSeI.
    3. Hatami-Marbini, Adel & Emrouznejad, Ali & Tavana, Madjid, 2011. "A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making," European Journal of Operational Research, Elsevier, vol. 214(3), pages 457-472, November.
    4. Camilo Franco & Jens Leth Hougaard & Kurt Nielsen, 2014. "Ranking Alternatives based on Imprecise Multi-Criteria Data and Pairwise Overlap Dominance Relations," MSAP Working Paper Series 02_2014, University of Copenhagen, Department of Food and Resource Economics.
    5. Triantis, Konstantinos & Sarangi, Sudipta & Kuchta, Dorota, 2003. "Fuzzy pair-wise dominance and fuzzy indices: An evaluation of productive performance," European Journal of Operational Research, Elsevier, vol. 144(2), pages 412-428, January.
    6. Kao, Chiang, 2006. "Interval efficiency measures in data envelopment analysis with imprecise data," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1087-1099, October.
    7. Soleimani-damaneh, M., 2008. "Fuzzy upper bounds and their applications," Chaos, Solitons & Fractals, Elsevier, vol. 36(2), pages 217-225.
    8. HATAMI-MARBINI, Adel & AGRELL, Per & AGHAYI, Nazila, 2013. "Imprecise data envelopment analysis for the two-stage process," LIDAM Discussion Papers CORE 2013004, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Omero, Marta & D'Ambrosio, Lorenzo & Pesenti, Raffaele & Ukovich, Walter, 2005. "Multiple-attribute decision support system based on fuzzy logic for performance assessment," European Journal of Operational Research, Elsevier, vol. 160(3), pages 710-725, February.
    10. Adel Hatami-Marbini & Per J. Agrell & Hirofumi Fukuyama & Kobra Gholami & Pegah Khoshnevis, 2017. "The role of multiplier bounds in fuzzy data envelopment analysis," Annals of Operations Research, Springer, vol. 250(1), pages 249-276, March.

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