Estimating aspiration levels from discrete choices-Computational techniques and experiences

Estimating aspiration levels from discrete choices-Computational techniques and experiences

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Article ID: iaor1996328
Country: Netherlands
Volume: 76
Issue: 3
Start Page Number: 455
End Page Number: 465
Publication Date: Aug 1994
Journal: European Journal of Operational Research
Authors:
Abstract:

This paper discusses the problem of estimating aspiration or reference levels in criteria space from choices between alternatives characterized by multiple criteria. Several methods for such estimations are developed and compared, taking into account both solution quality and computational efficiency. Methods based on mixed integer linear programming, which provide optimal solutions, require unacceptable computing times for application in interactive systems. An alternative method, based on a direct search algorithm, is shown to be an effective way of generating high quality estimates with small computational effort.

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