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USING FUZZY LOGIC TO AUTOMATE PERFORMANCE ANALYSES

机译:使用模糊逻辑来自动化性能分析

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Fuzzy logic, also known as approximate reasoning, is an expansion of set theory originated in the 1960s by Lotfi Zadeh. It has been applied successfully in many areas, including control systems. This paper defines key concepts of fuzzy logic, shows examples of fuzzy logic in life and in real-world applications, shows how fuzzy logic can be applied to computer performance work to simplify and speed analysis and reporting, and shows a simple example of program code which implements fuzzy logic. Examples are based on MS-Windows®, but the principles should be applicable to other operating systems.
机译:模糊逻辑,也称为大致推理,是在Lotfi Zadeh的20世纪60年代起源的集合理论的扩展。它已成功应用于许多领域,包括控制系统。本文定义了模糊逻辑的关键概念,显示了生活中的模糊逻辑和现实世界应用程序的示例,显示了模糊逻辑如何应用于计算机性能工作,以简化和速度分析和报告,并显示一个简单的程序代码示例这实现了模糊逻辑。示例基于MS-Windows®,但原理应适用于其他操作系统。

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