Online Recognition of Fuzzy Time Series Patterns

This article deals with the recognition of recurring multivariate time series patterns modelled sample-point-wise by parametric fuzzy sets. An efficient classification-based approach for the online recognition of incompleted developing patterns in streaming time series is being presented. Furthermore, means are introduced to enable users of the recognition system to restrict results to certain stages of a pattern's development, e. g. for forecasting purposes, all in a consistently fuzzy manner. Keywords-- Fuzzy classification, fuzzy automata, multivariate time series, pattern recognition.

• Type: Journal
• Year: 2009
• Where: EUSFLAT
• Authors: Gernot Herbst, Steffen F. Bocklisch
• Keywords: EUSFLAT 2009, Fuzzy Logic, Multivariate Time Series, Parametric Fuzzy Sets, Time Series Patterns