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A Separating Choice Hyperplane Algorithm for Evaluating Multiattribute Decisions

Ted Dintersmith
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Ted Dintersmith: Analog Devices, Inc., Norwood, Massachusetts

Operations Research, 1984, vol. 32, issue 6, 1328-1344

Abstract: This paper presents an iterative algorithm for optimizing multiattribute decisions. It develops a separating choice hyperplane algorithm, which allows decision-makers to identify their most preferred point from a nonlinear convex set of feasible outcomes. In this interactive algorithm, the decision-maker reveals information about preferences by solving a series of elementary resource allocations. The resulting structure integrates a theoretically rigorous optimization procedure with intuitive assessment tasks. A practical application of the approach is presented.

Keywords: 91 decision analysis: multiattribute; 641 multiple criteria programming: interactive algorithms; 644 nonlinear programming using cutting planes: interactive multiattribute (search for similar items in EconPapers)
Date: 1984
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