基于区间二型模糊EDAS的多属性决策方法

针对多属性决策存在的复杂性和不确定性问题，提出基于区间二型模糊平均解距离法 (evaluation based on distance from average solution，EDAS) 的多属性决策方法。采用区间二型模糊集合 (interval type-2 fuzzy sets，IT2FS) 表达评价信息解决专家的偏好信息存在个体化差异问题，并纳入EDAS对备选方案进行排序。以区间二型模糊数表达评价信息构建决策矩阵，以计算得到的综合评价值的去模糊化结果作为最终的方案排序依据。针对EDAS中属性权重需要从外部获取的问题，采用区间二型模糊集合改进的最优最劣法 (best-worst method，BWM) 确定属性权重。最后，以某汽车制造企业选购新能源汽车云服务方案为例，验证所提方法的有效性。

Multi-attribute Decision Making Method Based on Interval Type-2 Fuzzy EDAS

Aiming at the complexity and uncertainty of multi-attribute decision-making, a multi-attribute decision-making method based on interval type-2 fuzzy EDAS is proposed. Interval type-2 fuzzy sets (IT2FS) is used to express the evaluation information to solve the problem of individual differences in experts' preference information. The evaluation based on distance from average solution (EDAS) is used to rank the alternatives, and the interval type-2 fuzzy number is used to express the evaluation information to construct the decision matrix. The final ranking of the schemes is based on the defuzzification result of the calculated comprehensive evaluation value. To solve the problem that attribute weights need to be obtained from outside in EDAS, the best worst method (BWM) improved by interval type-2 fuzzy sets is used to determine the attribute weights. Finally, the effectiveness of the proposed method is verified by taking the cloud service scheme of new energy vehicles purchased by an automobile manufacturing enterprise as an example.