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针对传统基于模糊集方案评价方法的不足,将vague集理论运用到机械方案评价中,并使用熵权法结合层次分析法确定各指标权重,建立了一种基于Vague集的方案评价决策模型。通过计算各方案的支持(反对,中立)目标集,利用目标优属度矩阵对目标属性值及目标权重进行集结,得到方案的Vague估计值。利用一个改进的评分函数对方案排序,获得最优方案。算例验证了该方法的有效性。该方法利用vague集兼顾了隶属和非隶属两方面的信息,具有对不确定数据更强、更灵活的直觉表达能力,而且综合考虑了属性值和属性权重的重要性,从而为方案评价提供了更趋于实际的一种方法。
Aiming at the deficiency of the traditional evaluation method based on fuzzy set theory, the vague set theory is applied to mechanical scheme evaluation, and the weight of each index is determined by the method of entropy and analytic hierarchy process. A decision model based on Vague set is established. By calculating the support (objection, neutral) target set of each scheme, the target attribute value and the target weight are assembled using the target optimality degree matrix, and the Vague estimation value of the scheme is obtained. Use an improved scoring function to sort the programs to get the optimal solution. The example shows the validity of the method. The method uses both vague sets to take into account both the subordinate and the non-subordinate information, has more intuitive and indefinite data expression ability, and comprehensively considers the importance of the attribute value and attribute weight, thus provides a More practical approach.