6533b871fe1ef96bd12d10f2
RESEARCH PRODUCT
Solving multiobjective optimization problems with decision uncertainty: an interactive approach
Karthik SindhyaKaisa MiettinenYue Zhou-kangassubject
Economics and EconometricsMathematical optimization050208 financerobust solutionsComputer science05 social sciencesmultiple criteria decision makinginteractive methodsDecision makerNIMBUSmonitavoiteoptimointiVisualizationMultiobjective optimization problemRobustness (computer science)0502 economics and businesshandling uncertaintiesrobustness measureBusiness and International Management050203 business & managementdescription
We propose an interactive approach to support a decision maker to find a most preferred robust solution to multiobjective optimization problems with decision uncertainty. A new robustness measure that is understandable for the decision maker is incorporated as an additional objective in the problem formulation. The proposed interactive approach utilizes elements of the synchronous NIMBUS method and is aimed at supporting the decision maker to consider the objective function values and the robustness of a solution simultaneously. In the interactive approach, we offer different alternatives for the decision maker to express her/his preferences related to the robustness of a solution. To consolidate the interactive approach, we tailor a visualization to illustrate both the objective function values and the robustness of a solution. We demonstrate the advantages of the interactive approach by solving example problems. peerReviewed
year | journal | country | edition | language |
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2018-03-15 | Journal of Business Economics |