Abstract
This article reviews the characteristics of the model selection problem for simulation software or analyses and presents a multiobjective decision analysis approach for model selection that addresses these characteristics. The approach is illustrated with an application to selecting a modeling approach for simulating transport agents. The authors discovered that using multiobjective decision analysis for model selection can assist decision makers in more fully understanding all aspects of the simulation design problem and can uncover insights into the particular simulation project being designed.
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