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Generalized Entropy-Based Weights for Multiattribute Value Models

Author

Listed:
  • Ehsan S. Soofi

    (University of Wisconsin-Milwaukee, Milwaukee, Wisconsin)

Abstract

The minimum discrimination information weights generalizes the entropy-based “nearly-equal” weights for additive multiattribute value models.

Suggested Citation

  • Ehsan S. Soofi, 1990. "Generalized Entropy-Based Weights for Multiattribute Value Models," Operations Research, INFORMS, vol. 38(2), pages 362-363, April.
    • Handle: RePEc:inm:oropre:v:38:y:1990:i:2:p:362-363
    DOI: 10.1287/opre.38.2.362
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    Cited by:

    1. A Jessop, 2010. "A portfolio model for performance assessment: the Financial Times MBA ranking," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 632-639, April.
    2. Hoyoon Lee & Dawoon Jeong & Jeong-Dong Lee, 2023. "Drivers of institutional evolution: phylogenetic inertia and ecological pressure," Journal of Evolutionary Economics, Springer, vol. 33(2), pages 279-308, April.
    3. Gensch, Dennis H. & Soofi, Ehsan S., 1995. "An information-theoretic two-stage, two-decision rule, choice model," European Journal of Operational Research, Elsevier, vol. 81(2), pages 271-280, March.

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