Generalized Entropy-Based Weights for Multiattribute Value Models

Ehsan S. Soofi
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Ehsan S. Soofi: University of Wisconsin-Milwaukee, Milwaukee, Wisconsin

Operations Research, 1990, vol. 38, issue 2, 362-363

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

Keywords: probability; entropy: procedure for allocation of weights; statistics: minimum discrimination information approach; utility/preference; multiattribute: sensitivity analysis of multiattribute models (search for similar items in EconPapers)
Date: 1990
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