AN ADAPTIVE DECISION SUPPORT SYSTEM FOR ACADEMIC RESOURCE PLANNING
针对高校资源分配中决策者视角不同、目标冲突的问题，提出一个能适应不同决策风格的自适应决策支持系统，并在美国中西部一所大学测试成功。
Institutions of higher learning are growing increasingly interested in the use of model‐based approaches to their resource allocation problems. Recent modeling approaches, however, have failed to consider that resource allocation planning is not a well‐structured decision process. Additionally, many decision makers are necessarily involved in the academic planning process and may assume dissimilar perspectives on the importance of achieving different goals and objectives. Furthermore, satisfactory allocation solutions can be expected to vary considerably from decision maker to decision maker as the individual's cognitive processes, perceptions, and evaluations are taken into consideration. This paper describes a decision support system (DSS) approach that attempts to adapt to a variety of academic decision makers with differing planning views in an environment of multiple conflicting objectives. This DSS, which was successfully tested on four academic decision makers in a large midwestern university, shows considerable promise for providing decision support to decision makers with varied problem‐solving styles.