可变模糊方法及其在工件识别中的应用

提出的以相对差异函数为基础的可变模糊方法,可根据事物关于特征的量值来判断事物吸引与排斥特性的程度,从而为解决识别问题提供了新的途径。建立了多传感器信息融合系统中的可变模糊识别模型,把可变模糊方法应用到多传感器信息融合工件识别中,并用一个具体的实例验证了该方法的合理性与可行性。最后证明了可拓学中以“距”与“位值”概念为基础的关联函数基本公式的错误,从理论与应用两个方面,指出其不能在多传感器信息融合及其相关领域中应用。

Variable fuzzy method and its application in parts recognition

A variable fuzzy method based on the definition of relative difference function is proposed,which can identify the degree that object attracts and repels a property according to characteristic values of the object with regard to the property,so the variable fuzzy method pioneers a new way for recognition.The fuzzy variable recognition model of multi-sensor data fusion system is established,and then the model is applied to multi-sensor data fusion system for parts recognition.Finally an example is given.The case study proves that the model and method are reasonable and practicable.In the end,from theory and application,it is proved that the formula of dependent function based on "distance" and "location values" in extenics is error,and indicated that it cannot be applied to multi-sensor data fusion and its correlative fields.