An Evolutionary Strategy for Implementing a Decision Support System
比较了进化策略与传统策略在实施决策支持系统时的效果，发现进化策略能显著提高系统利用率，并通过模拟生产环境实验验证。
This paper investigates two alternative strategies for implementing Decision Support Systems (DSS): evolutionary and traditional. The evolutionary approach utilizes judgement modeling (boot strapping) as a means to create felt need, to provide insight into the decision process and the implied weighting of decision variables, and to establish a learning-based, participatory implementation strategy. In contrast, the traditional approach is characterized by a problem solving orientation wherein the DSS is portrayed as providing a valuable “product” that can be theoretically justified. Decision making in a simulated production environment is used to test the alternative strategies. Decision style is also included in the experimental design. Results indicate significantly higher utilization of the DSS with the evolutionary approach. Decision style findings are consistent with reported research.