基于Orness 测度约束的多阶段灰色局势群决策模型

研究多阶段灰色局势群决策模型。从决策专家各阶段的评价信息质量分析入手，给出了评价阶段质变和量变的定义；基于各阶段的评价信息和Orness测度，构建以相邻阶段信息偏差最小为目标的时间权重模型，分析了在保持最优局势不变的情况下Orness测度的取值范围，为决策专家Orness取值提供参考；研究基于群体差异最小的决策专家权重模型，提出一种多阶段灰色局势群决策评价信息集结方法。最后，通过一个具体的算例说明了该方法的有效性和可行性。

Multi-stage grey situation group decision-making model based on Orness

A multi-stage situation group decision-making model is studied. Based on the quality analysis on decision experts’ evaluation information, the qualitative change and quantitative change of evaluation stages are defined. Then a time weight model minimizing the information deviation for adjacent stages is built, and the value range of Orness measure with the unchanged optimal situation is analyzed, which provides a reference for decision experts to assign the value. A new method for information aggregation is proposed for multi-stage grey situation group decision-making. Finally, a specific example illustrates the effectiveness and feasibility of the proposed method.