基于Vague集模糊推理的目标识别方法及其三Ⅰ解

A Target Recognition Method Based on Fuzzy Reasoning of Vague Sets and Its TripleⅠSolution

为从Vague集多准则模糊决策、目标识别和模糊推理三者关系中探求目标识别构建方法,利用特征矩阵、权重、评价函数等分别构建了基本决策过程和熵权-加权算子决策过程.通过R0v。型模糊取式三Ⅰ算法,揭示了两种决策过程的评价函数值分别是模糊推理的模糊逻辑三Ⅰ解和加权三Ⅰ解.结合三Ⅰ算法的还原性和模糊推理过程,构建了基于三Ⅰ算法的模糊推理目标识别方法.利用一个工件识别实例说明了提出的目标识别方法的正确性和有效性.

Ⅰn order to explore the construction method of target recognition from the relationship among multi criteria fuzzy decision-making of Vague sets,target recognition and fuzzy reasoning,a basic decision-making process and a entropy weight-weighted operator decisionmaking process are constructed by making full use of feature matrix,weight and evaluation function.Through a fuzzy modus ponens tripleⅠalgorithm of R0v type,it reveals that the evaluation function values of the two decision-making processes are a fuzzy logic tripleⅠsolution and a weighted tripleⅠsolution of fuzzy reasoning,respectively.Combined with the reducibility and fuzzy reasoning process of the tripleⅠalgorithm,a fuzzy reasoning target recognition method based on the tripleⅠalgorithm is constructed.An example of parts recognition is used to illustrate the correctness and effectiveness of the proposed target recognition method.