Qualitative discrete event simulation
Yen-Ping Leow-Sehwail, Ricki G. Ingalls · Winter Simulation Conference · 2005
A real world system is full of uncertainties and more than often the parameters, processes or events under study are poorly understood. In order to study a real world system, we often have to make a set of assumptions about how it works using statistical, mathematical or logical relationships. Qualitative discrete event simulation involves the development of simulation models which require less assumptions, less data requirements and yet more robust. This paper presents the concepts involved in the development and implementation of qualitative discrete event simulation models and algorithms.