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A Practical Procedure for Customizable One-Way Sensitivity Analysis in Additive Value Models

Document Type

Article

Publication Date

11-4-2011

Abstract

Although a wide variety of sensitivity analysis methods for additive value models appear in the literature, the most commonly used and easily understood is one-way sensitivity analysis. We address concerns from practice with this traditional method and build the mathematical foundation for a new and robust one-way sensitivity analysis approach that enables the decision maker(s) to gain a greater ownership of the model. A traditional one-way sensitivity analysis varies one attribute weight while keeping all others proportionally constant; although useful, it also has limitations, particularly in group decision making. Our proposed methodology, customizable one-way sensitivity analysis (COSA), retains the simplicity of the traditional method but extends it to a more powerful form. COSA allows the decision maker(s) to tailor the sensitivity analysis to the desired decision context by assigning weight coefficients of elasticity to the attribute weights. These parameters let the decision maker choose how the adjusted weight change is distributed throughout the model. Furthermore, we provide a detailed discussion about performing sensitivity analysis on complex hierarchies with more than one tier and include an applied example to demonstrate COSA's usefulness. Overall, a consistent standard for the one-way sensitivity analysis of additive value models is provided for the decision analysis community.Abstract © INFORMS

Comments

Copyright © 2011, INFORMS

This article is accessible by subscription or purchase at the DOI link below.

Co-author A. Gutman was an AFIT PhD student at the time of this publication. (AFIT-ENC-DS-13-S-02, September 2013)

Source Publication

Decision Analysis (ISSN 1545-8490 | eISSN 1545-8504)

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