在可信度传播的基础上,提出一种加权相似性测度的直觉模糊近似推理方法。运用实例分析现有典型方法的不足,针对带有可信度因子的直觉模糊近似推理的3种形式,综合研究了直觉模糊集隶属度、非隶属度和犹豫度对相似性测度的影响,给出一种考虑权重的相似性测度方法,并将其运用到直觉模糊近似推理中。通过实例以及与同类推理算法比较,结果表明了该推理算法的合理性和可行性。
On the foundation ofconfidence factors spreading, a method for intuitionistic fuzzy approximate inference based on similarity measure with weight are exposed. First, the defaults of the existing methods are analyzed. Then to the three format of intuitionistic fuzzy approximate inference with reliability in details, all the attributes in intuitionistic fuzzy sets are considered, that is membership, non-membership and hesitancy degree, that affect the similarity measure, a similarity measure method with weight is put forward, which would be used into intuitionistic fuzzy approximate inference. At last, validate the rationality and feasibility of the method by examples and comparing with other kin inference methods.