Uncertainty considerations in group decisions: staffing and ratesetting in a health promotion center.

Abstract

There are a variety of methods for including risk or uncertainty in Group Decision Support Systems (GDSS). Monte Carlo simulation is one method. An application of Monte Carlo simulation in Group Decisions and GDSS for diversification of services is presented in this paper. Specifically, the uncertainty associated with the finances of a Health Promotion Center are evaluated for staffing and rate setting. The distributions of outcome variables are used in decision rules.