Simulation techniques for the sensitivity analysis of multi-criteria decision models

Simulation techniques for high dimensional sensitivity analysis of the weights of multi-criteria decision models are studied. The simulation approach allows concurrent changes of the weights and yields results that can be easily studied statistically to help in understanding multi-criteria model proposals. The simulation techniques that were used can be employed in actual decision processes.