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1998 | ReviewPaper | Buchkapitel

A fuzzy linear approach to recognising signal profiles

verfasst von : P. Félix, S. Fraga, R. Marín, S. Barrot

Erschienen in: Methodology and Tools in Knowledge-Based Systems

Verlag: Springer Berlin Heidelberg

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In other papers we have introduced the model of Fuzzy Temporal Profile (FTP) [4] through which we describe the evolution of a particular physical parameter V over time. Following this model an approximation to the evolution curve by means of sections between a set of significant points (X0,X1,...,Xn) is defined. 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 a previous paper [5] we presented a method of matching which analyses the occurrence of certain signal events associated to a particular temporal instant, given by a fuzzy predicate, and a certain condition of value, given, in the same manner, by a fuzzy predicate. In this paper we go beyond this, tackling the following problem: given an FTP and a signal representing the evolution of a certain system, to find the degree of compatibility between the profile and a piece of this signal, and the most possible locations in the global evolution.

Metadaten
Titel
A fuzzy linear approach to recognising signal profiles
verfasst von
P. Félix
S. Fraga
R. Marín
S. Barrot
Copyright-Jahr
1998
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/3-540-64582-9_800