由于组合导航信息融合算法缺乏有效的评估方法,提出了基于Vague集理论的评估模型。分析并完善了现有算法的评价指标,使其更能全面反应算法的综合性能;引入了属性测度理论用于Vague值选取,克服了以往经验赋值的主观性和盲目性;构建了模糊值转化规则,使用专家赋权法与熵权法结合的组合权重选取方法,改进了Vague集多指标决策的模糊值线性序法;最后应用此方法对组合导航信息融合算法品质进行评估,实验结果证明了该方法的有效性和实用性。

In view of lack of effective estimating methods for integrated navigation nainformation fusion algorithms, an evaluation model based on Vague sets was proposed in this paper. The evaluation index of existing information fusion algorithms was analyzed and completed by using this model so that the model can reflect the performance of information fusion algorithm comprehensively. Attribute measure theory was introduced to obtain the Vague values which can overcome the subjectivity and blindness of the traditional method by experience. The multi-criteria decision making method based on Vague sets and fuzzy linear ranking was improved by the constructing of transformation rule of Vague values and the application of combination weight selection method of combining Experts Weighing Method with Entropy Weight Method. Finally, this method was applied to evaluate the performance of integrated navigation information fusion method. The result indicates that this method is effective and useful.