Abstract: In order to solve the problem of group decision making problem with multiple attributes and mixed evaluation information, an evaluation method is proposed based on the intuitionistic fuzzy sets and VIOKR theory. First, the mixed attribute of different evaluation information is converted into intuitionistic fuzzy numbers, which can reduce the randomness and fuzziness of the evaluation information. Then, the minimum deviation optimization model is established to calculate the weight vectors of the experts and the attributes. In addition, the VIKOR theory is introduced to aggregate the evaluation values and rank the evaluation objects. The comparison with the TOPSIS method is presented to verify the feasibility and reliability of the proposed algorithm. Finally, the virtual training system of a certain type of power vehicle is used as research object and conduct the personnel business level decision-making, the results show that the group decision-making method can effectively realize the decision-making, and has a good engineering application value.

Key words: Multi-attribute group decision making, intuitionistic fuzzy set, VIKOR, the weights of indices

摘要： 针对含有多种属性和混合评价信息的群决策问题，提出一种基于直觉模糊 VIOKR 的评价方法。首先，将不同属性类型的混合评价信息转换为直觉模糊数，以降低评价信息的随机性和模糊性；其次建立最小偏差优化模型计算专家权重和属性的权重信息；再次，引入VIKOR理论集结评价值对评价对象进行评价排序，并与TOPSIS方法进行了对比分析说明本算法的可行性和可信度；最后以某型电源车虚拟训练系统为研究对象，对人员业务水平决策进行实例研究，结果表明该群决策方法的有效性，且具有较好的工程应用价值。

关键词: 多属性群决策, 直觉模糊集, VIKOR, 指标权重