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Optical generation of fuzzy-based rules

机译：光学生成基于模糊的规则

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In the last third of the 20th century, fuzzy logic has risen from a mathematical concept to an applicable approach in soft computing. Today, fuzzy logic is used in control systems for various applications, such as washing machines, train-brake systems, automobile automatic gear, and so forth. The approach of optical implementation of fuzzy inferencing was given by the authors in previous papers, giving an extra emphasis to applications with two dominant inputs. In this paper the authors introduce a real-time optical rule generator for the dual-input fuzzy-inference engine. The paper briefly goes over the dualinput optical implementation of fuzzy-logic inferencing. Then, the concept of constructing a set of rules from given data is discussed. Next, the authors show ways to implement this procedure optically. The discussion is accompanied by an example that illustrates the transformation from raw data into fuzzy set rules.
机译：在20世纪后半叶，模糊逻辑已从数学概念发展为软计算中的适用方法。如今，模糊逻辑已用于各种应用的控制系统中，例如洗衣机，火车制动系统，汽车自动变速装置等。作者在先前的论文中给出了光学推理的模糊推理方法，特别强调了具有两个主要输入的应用。在本文中，作者介绍了一种用于双输入模糊推理引擎的实时光学规则生成器。本文简要介绍了模糊逻辑推理的双输入光学实现。然后，讨论了根据给定数据构造一组规则的概念。接下来，作者展示了光学实现此过程的方法。讨论伴随着一个示例，该示例说明了从原始数据到模糊集规则的转换。

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