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Entropy‐based selection with multiple objectives
Author(s) -
Hutton Barron F.,
Schmidt Charles P.
Publication year - 1988
Publication title -
naval research logistics (nrl)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 68
eISSN - 1520-6750
pISSN - 0894-069X
DOI - 10.1002/1520-6750(198812)35:6<643::aid-nav3220350610>3.0.co;2-#
Subject(s) - selection (genetic algorithm) , entropy (arrow of time) , computer science , mathematics , econometrics , statistics , artificial intelligence , thermodynamics , physics
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.