基于IFPOWA算子的MULTIMOORA群体综合评价方法及在教学评价中的应用

A Method Based on IFPOWA Operator for Intuitionistic Fuzzy MULTIMOORA Group Comprehensive Evaluation and Its Application to Teaching Evaluation

为解决传统MULTIMOORA方法无法适用于直觉模糊信息情形及其未考虑集成数据间特征等缺陷，提出一种基于直觉模糊幂均有序加权平均（IFPOWA）的MULTIMOORA群体综合评价方法．方法不用事先确认专家的权重，可根据专家间的评价信息的支持度，利用IFPOWA直接集结评价专家的个体信息从而得到群体评价意见，在此基础上根据MULTIMOORA模型中的比率系统、全乘模型和参照点法模型的评价结果可得出方案的最终排序，最后用实例验验证其可行性及有效性．

The classic MULTIMOORA method is unsuitable to deal with intuitionistic fuzzy information and consider input data characters. In order to overcome this drawback, in this paper, we develop a Power intuitionistic fuzzy operator ordered weighted averaging （IFPOWA） method for MULTIMOORA group decision making. This method doesn＇t need to solve the weights o f experts, the IFPOWA is used to aggregate the experts＇ evaluation according to their mutual support. Based on the results of the Ratio System, the Reference Point and the Full Multiplicative Form, we can get the final rank of the alternatives. Finally, a numerical example is provided to show the validity and applicability of the presented method.