Improving an optimization-based framework for sensitivity analysis in multi-criteria decision-making

Improving an optimization-based framework for sensitivity analysis in multi-criteria decision-making

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Article ID: iaor20023376
Country: United Kingdom
Volume: 10
Issue: 1
Start Page Number: 1
End Page Number: 9
Publication Date: Jan 2001
Journal: Journal of Multi-Criteria Decision Analysis
Authors: , ,
Abstract:

The framework for sensitivity analysis in discrete multi-criteria decision analysis developed by Rios Insua and French allows simultaneous variation of all parameters and applies to many paradigms for decision analysis. However, its computational load may inhibit use, particularly in the context of a decision conference where results are required in near real time. In order to improve on the current algorithm and its implementation, we investigate, on the one hand, an opportunistic approach aimed at reducing the number of optimization problems solved in the original framework and, on the other, an alternative framework based on distance analysis. Computational results on linear and bilinear models are reported.

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