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Modelling of Mamdani Fuzzy Inference Engine using hierarchical colored Petri nets

机译:使用层次彩色Petri网的Mamdani模糊推理引擎的建模

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Fuzzy Inference System (FIS) is mapping the input space to the output space. A Fuzzy Rule Base (FRB) consists of a set of fuzzy IF-THEN rules. It is the heart of the fuzzy system in the sense that all other components are used to implement these rules in a reasonable and efficient manner. FIS consists of three main sections. The first section contains the exact values(non-fuzzy) expressed by IF condition. The second part contains the result calculation of THEN. The third part consists of aggregating of the fuzzy results and obtained the non-fuzzy output. In this paper, using CPN Tools Software are described colors set for modelling of Mamdani Fuzzy Inference Engine, Then the Fuzzy Inference Rules will be presented as a submodel. In the third step implementation of each model and the proof correctness a particular condition of the basic rules that will apply to the network as a token.
机译:模糊推理系统(FIS)将输入空间映射到输出空间。模糊规则库(FRB)包括一组模糊IF-DEN-DEN-DEN-DEN规则。这是模糊系统的核心,因为所有其他组件用于以合理和有效的方式实现这些规则。 FIS由三个主要部分组成。第一个部分包含IF条件表达的确切值(非模糊)。第二部分包含那么结果计算。第三部分包括聚集模糊结果并获得非模糊输出。在本文中,使用CPN Tools软件描述了用于Mamdani模糊推理引擎的建模的颜色,然后模糊推断规则将作为子模型呈现。在每个模型的第三步实现中,证明正确性将适用于网络作为令牌的基本规则的特定条件。

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