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Generalized Fuzzy Operations for Digital Hardware Implementation

机译:用于数字硬件实现的通用模糊运算

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摘要

Hardware implementation of fuzzy systems plays important role in many industrial applications of fuzzy logic. The most popular applications of fuzzy hardware systems were found in the domain of control systems but the area of application of these systems is extending on other areas such as signal processing, pattern recognition, expert systems etc. The digital fuzzy hardware systems usually use only basic operations of fuzzy logic like min, max and some others, first, due to their popularity in traditional fuzzy control systems and, second, due to the difficulties of hardware implementation of more complicated operations, e.g. parametric classes of r-norms and f-conorms. But for extending the area of applications and flexibility of fuzzy hardware systems it is necessary to develop the methods of digital hardware implementation of wide range of fuzzy operations. The paper studies the problem of digital hardware implementation of fuzzy parametric conjunction and disjunction operations. A new class of such operations is proposed which is simple for digital hardware implementation and is flexible, due to its parametric form, for possible tuning in fuzzy models. The methods of hardware implementation of these operations in digital systems are proposed.
机译:模糊系统的硬件实现在模糊逻辑的许多工业应用中起着重要作用。模糊硬件系统的最流行应用是在控制系统领域,但是这些系统的应用领域扩展到其他领域,例如信号处理,模式识别,专家系统等。数字模糊硬件系统通常仅使用基本的诸如min,max等一些模糊逻辑的操作,首先是由于它们在传统的模糊控制系统中很受欢迎,其次,是由于更复杂的操作的硬件实现困难,例如r范数和f范数的参数类。但是,为了扩展模糊硬件系统的应用范围和灵活性,有必要开发各种模糊运算的数字硬件实现方法。本文研究了模糊参数合取与分离运算的数字硬件实现问题。提出了这类新的操作,其对于数字硬件实现而言是简单的,并且由于其参数形式而具有灵活性,从而可以在模糊模型中进行调整。提出了在数字系统中这些操作的硬件实现方法。

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