基于模糊时间剖面模型的趋势检测

P. Félix , S. Fraga , R. Marı́n , S. Barro
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引用次数: 11

摘要

模糊时间剖面(FTP)是一种模型,我们通过它来描述某一物理参数V随时间的演变。因此,我们定义了一组显著点(X0,X1,…,XN),并通过它们之间的线性截面来近似演化曲线。每个部分都是通过对持续时间、值的增加和由部分连接的点之间的斜率的不精确约束来定义的。在本文中,我们将展示一种将FTP与信号匹配的可能方法,该方法将允许在物理参数随时间的跟踪中检测感兴趣的配置文件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trend detection based on a fuzzy temporal profile model

A fuzzy temporal profile (FTP) is a model through which we describe the evolution of a certain physical parameter V over time. Thus we define a set of significant points (X0,X1,…,XN), and we approximate the evolution curve by way of linear sections between them. Each section is defined by way of an imprecise constraint on duration, on increase in value and on slope between the points connected by the section.

In this article we show a possible method of matching an FTP with a signal, which will enable the detection of profiles of interest on the trace of a physical parameter over time.

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