Decision tree module within decision support simulation system

Authors:
Mohamed Moussa;Janaka Y. Ruwanpura;George Jergeas
Affiliations:
University of Calgary, Calgary AB, Canada;University of Calgary, Calgary AB, Canada;University of Calgary, Calgary AB, Canada
Venue:
WSC '04 Proceedings of the 36th conference on Winter simulation
Year:
2004

Citing 6
Cited 0

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Abstract

Decision trees are one of the most easy to use tools in decision analysis. Problems where decision tree branches are based on random variables have not received much attention. This paper introduces a successful application of a Special Purpose Simulation (SPS) program in developing a Decision Tree module that is part of a unified Decision Support System (DSS) template. The DSS template consists of three modules: Decision Tree (DT), shortest and longest path Dynamic Programming (DP) Network, and Cost / Time (CT) Estimate network. The DT module integrates with other modules and allows users to model decision trees with variables that are based on probabilistic random numbers. This paper introduces the DSS-DT module and shows its advantages.