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
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.