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Fuzzy logic recognition device which determines the mode of an unknown move using fuzzy set theory

机译:利用模糊集理论确定未知动作模式的模糊逻辑识别装置

摘要

A fuzzy logic recognition device has a plurality of sets of feature extraction windows, each set storing the predetermined features for one feature class therein, and comparing the stored features with the corresponding features of an unknown recognition mode to output a logic "1" via one corresponding feature extraction window where an identicalness condition occurs, and logic "0" via the other feature extraction windows where no identicalness condition occurs. A plurality of sets of membership function generators are coupled to the feature extraction window sets respectively. Each membership function generator which receives the logic "1" generates the memberships of the corresponding feature with respect to the target modes, and the membership function generators which receive the logic "0" do not generate the memberships. A minimum gate is coupled to the membership function generator sets for comparing the memberships with respect to the same target mode, respectively, and for outputting the smallest membership for every one of the target modes. A maximum gate is coupled to the minimum gate for comparing the memberships outputted from the minimum gate means, and for outputting the largest membership to indicate that the unknown recognition mode is which one of the target mode.
机译:模糊逻辑识别装置具有多组特征提取窗口,每组特征提取窗口在其中存储针对一个特征类的预定特征,并将所存储的特征与未知识别模式的相应特征进行比较,以通过一个输出逻辑“ 1”相应的特征提取窗口出现相同条件,而逻辑“ 0”通过其他特征提取窗口出现相同条件。多个隶属函数生成器集合分别耦合到特征提取窗口集合。接收逻辑“ 1”的每个隶属度函数生成器生成与目标模式有关的相应特征的隶属度,而接收逻辑“ 0”的隶属度函数生成器不生成隶属度。最小门耦合到隶属度函数生成器集,以分别针对相同的目标模式比较隶属度,并为每个目标模式输出最小的隶属度。最大门耦接至最小门,以比较从最小门装置输出的隶属度,并输出最大隶属度以指示未知识别模式是目标模式中的哪一个。

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