Method for parallel processing of fuzzy logic inference rules and corresponding circuit architecture with fuzzy inputs and outputs
    12.
    发明公开
    Method for parallel processing of fuzzy logic inference rules and corresponding circuit architecture with fuzzy inputs and outputs 失效
    一种用于处理平行模糊逻辑推理规则和模糊输入和输出匹配电路结构的过程。

    公开(公告)号:EP0684549A1

    公开(公告)日:1995-11-29

    申请号:EP94830240.1

    申请日:1994-05-23

    CPC classification number: G06N7/04 Y10S706/90

    Abstract: Method of parallel processing of multiple inference rules (R) organized in fuzzy sets or logical functions of multiple fuzzy sets comprising membership functions (I') defined in a so-called universe of discourse (U) and said inference rules (R) being configured essentially as IF-THEN rules with at least one antecedent preposition and at least one consequent implication and each preposition comprising at least one term (T) of comparison between membership functions (I') and a plurality of input data (I) and each term (T) being separated by logical operators (OL).
    The method comprises at least one phase of calculation of the weight (Ω) of each term (T) of the antecedent part of each fuzzy logic inference rule as the greatest value of the intersection between the set of input data (I) and the corresponding membership functions (I').

    Abstract translation: 在模糊集合或多个模糊集包含在话语中(U)和所述推理规则(R)的一个所谓的宇宙定义隶属函数(I“)的逻辑功能组织的多个推理规则(R)的并行处理方法被配置 基本上如IF-THEN与至少一个先行介词和至少一个随后的含义,并且每个介词包括隶属函数之间的比较中的至少一个术语(T)(I“)和输入数据(I)的多元的,每个术语的规则 (T)通过逻辑运算符(OL)分离。 该方法包括权重的每个术语的每个模糊逻辑推理规则作为置位输入数据(I)之间的交叉点的最大值的前事件部分(T)的(OMEGA)的计算中的至少一个相和对应的 隶属函数(I“)。

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