Proll, LG, Salhi, A and Rios Insua, D (2001) Improving an optimization-based framework for sensitivity analysis in multi-criteria decision-making. Journal of Multi-Criteria Decision Analysis, 10 (1). pp. 1-9. ISSN 1057-9214
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2001 John Wiley & Sons, Ltd. This is the peer reviewed version of the following article: Proll, L.G., Salhi, A. and Rios Insua, D. (2001), Improving an optimization-based framework for sensitivity analysis in multi-criteria decision-making. J. Multi-Crit. Decis. Anal., 10: 1–9. , which has been published in final form at http://dx.doi.org/10.1002/mcda.283. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | multi-criteria decision analysis; sensitivity analysis |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Jul 2016 11:14 |
Last Modified: | 30 Jun 2020 14:48 |
Published Version: | http://dx.doi.org/10.1002/mcda.283 |
Status: | Published |
Publisher: | John Wiley & Sons Ltd. |
Identification Number: | 10.1002/mcda.283 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:90323 |