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Stability Analysis of Multiobjective Decision Functions Based on GP

, , , and . Journal of Computer Research and Development, 42 (8): 1318--1323 (2005)
DOI: doi:10.1360/crad20050806

Abstract

In multi-objective decision problems many values must be assigned, such as the importance of the different criteria and the values of the alternatives with respect to subjective criteria. Since these assignments are approximate, it is very important to analyse the sensitivity of results when small modifications of the assignments are made. When solving a multicriteria decision problem, it is desirable to choose a decision function that leads to a solution as stable as possible. Proposed here is a method based on genetic programming that produces better decision functions than the commonly used ones. The theoretical expectations are validated by case studies.

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