A simulation aided solution to an MCDM problem

A forest treatment problem arising in a Northern Arizona region is first formulated as a discrete MCDM problem, in which the payoff values are uncertain. This uncertainty is modeled by randomization considering the uncertain values as random variables with assumed types of distribution depending on the levels of uncertainty. A combination of discrete MCDM methodology and stochastic simulation is used to find the best treatment strategy with respect to criteria including water quantity and quality, wildlife, wood production, aesthetics and management costs