EXPERIMENTAL STUDIES IN REAL-TIME, MONTE-CARLO SIMULATION

Several research concerns that have resulted from experiments in real-time, Monte Carlo simulation are presented. The introduction provides the motivation for this study. The second section gives an overview of the computational processes employed in the experimental study, a definition for the system state and state transition mechanism, and the performance measures considered. The paper then focuses upon the statistical concerns that arise in the analysis of transient phenomena. The methods of statistical analysis incorporated in this study are then reported. Research concerns associated with the process of compromise analysis in stochastic multicriteria decision-making are explored. The incorporation of the principles of stochastic dominance within the compromise analysis process is discussed. Future research concerns are related throughout the paper, and current research efforts are summarized. In particular, the development of graphical interfaces to assist the decision maker in the analysis of the real-time data are discussed.