State of the Art: RESEARCH DIRECTIONS IN DECISION MAKING UNDER UNCERTAINTY*
梳理了不确定性决策问题的建模现状，指出知识空白和未来研究方向，涵盖模型构建、不确定性建模、偏好建模以及竞争与群体决策四个类别，适合决策理论研究者参考。
ABSTRACT This paper considers the modeling of decision‐making problems under uncertainty, indicating current gaps in knowledge and promising research directions. Technical details are omitted, and no attempt is made to review past work since excellent recent reviews are available. The discussion of research topics is divided into four categories: model formulation, modeling uncertainty, modeling preferences, and modeling competitive and group decisions. The primary focus is normative, although descriptive work that can be valuable from a normative perspective is included. The suggested research directions cover the entire spectrum from theory to application. Subject Areas: Decision Analysis, Statistical Decision Theory, and Game Theory .