直觉模糊多特征融合目标类型识别模型

应用直觉模糊集完整描述目标识别特征与类型关系之间的模糊性和犹豫性,建立基于最大隶属原则的直觉模糊多特征模式识别的一般识别模型;针对战场目标类型识别问题中特征值不完全和识别特征之间独立的特点,定义了识别特征值识别价值测度和直觉模糊动态熵权,进而建立了基于最大隶属原则和动态熵权的多特征直觉模糊目标类型识别模型;通过应用实例计算与对比,说明提出的模型是有效的;所建立的模型对空中目标类型智能识别具有一定参考价值。

Intuitionistic fuzzy target type recognition model based on maximum membership degree principle

With the application of intuitionistic fuzzy sets to describe the fuzziness and intuitinism of relations between recognition feasures and target types,a corresponding intuitionistic fuzzy multi-features pattern recognition model is developed based on the maximum membership degree principle(MMDP).Considering the incompleteness of feature values and the independence among features in battlefield TTR problem,the recognition value and the intuitionistic fuzzy dynamic entroy-weight(IFDEW)for feature value are defined respectively.Furtherly,intuitionistic fuzzy multi-features TTR model are specified based on the MMDP and IFDEW.Through the comparative analysis of a practical example,our proposed model is verified to be effective and it is of importance to the artificial recognition of air target.