A Framework for Integrating Fuzzy Expert Systems and Discrete Event Simulation

This paper provides a framework for integrating fuzzy expert systems with discrete event simulation, which will be utilized to enhance the input modeling process in discrete event simulation. Predicting the activity output (i.e. duration) using fuzzy expert systems will provide a new modeling feature to discrete event simulation. In previous studies, fuzzy set theory was mainly utilized to control resources in discrete event simulation. The proposed integration is designed to provide real-time prediction of the activity output (i.e. duration) by capturing and modeling the changes in the factors affecting the activity output whenever the simulation time advances. The paper will show how this integration is achieved and how the inputs are handled in the integrated model.