USING FUZZY LOGIC TO AUTOMATE PERFORMANCE ANALYSES

机译：使用模糊逻辑自动进行性能分析

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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（也称为近似推理）是对集合论的扩展，它是由Lotfi Zadeh于1960年代提出的。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，显示了生活中和实际应用中的模糊逻辑的示例，显示了如何将模糊逻辑应用于计算机性能工作以简化和加快分析和报告的速度，并给出了程序代码的简单示例它实现了模糊逻辑。示例基于MS-Windows®，但原理应适用于其他操作系统。

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来源
《Computer Measurement Group Conference(CMG 2005)vol.1; 20051204-09; Orlando,FL(US)》|2005年|P.261-272|共12页
会议地点 OrlandoFL(US)
作者
Michael Maddox;
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作者单位

MCI Colorado Springs, Colorado;

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会议组织
原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
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USING FUZZY LOGIC TO AUTOMATE PERFORMANCE ANALYSES

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