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Entropy‐based selection with multiple objectives

F. Hutton Barron and Charles P. Schmidt

Naval Research Logistics (NRL), 1988, vol. 35, issue 6, 643-654

Abstract: In this article we present an approach to determine the initially unspecified weights in an additive measurable multiattribute value function. We formulate and solve a series of nonlinear programming problems which (1) incorporate whatever partial information concerning the attribute weights or overall relative value of alternatives the decision maker chooses to provide, yet (2) yield a specific set of weights as a result. Although each formulation is rather easily solved using the nonlinear programming software GINO (general interactive optimizer), solutions in closed form dependent on a single parameter are also provided for a number of these problems.

Date: 1988
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https://doi.org/10.1002/1520-6750(198812)35:63.0.CO;2-#

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