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A Separating Choice Hyperplane Algorithm for Evaluating Multiattribute Decisions

Author

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  • Ted Dintersmith

    (Analog Devices, Inc., Norwood, Massachusetts)

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.

Suggested Citation

  • Ted Dintersmith, 1984. "A Separating Choice Hyperplane Algorithm for Evaluating Multiattribute Decisions," Operations Research, INFORMS, vol. 32(6), pages 1328-1344, December.
    • Handle: RePEc:inm:oropre:v:32:y:1984:i:6:p:1328-1344
    DOI: 10.1287/opre.32.6.1328
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