Abstract
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 (X 0,X 1,...,X n) 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.
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Félix, P., Fraga, S., Marín, R., Barrot, S. (1998). A fuzzy linear approach to recognising signal profiles. In: Mira, J., del Pobil, A.P., Ali, M. (eds) Methodology and Tools in Knowledge-Based Systems. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64582-9_800
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DOI: https://doi.org/10.1007/3-540-64582-9_800
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