Forecasting Direction of Trend of a Group of Analogous Time Series Using F-Transform and Fuzzy Natural Logic

作者: Vilém Novák , Irina Perfilieva

DOI: 10.1080/18756891.2015.1129575

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摘要: AbstractWe present an idea to group time series according similarity of their local trends and predict future direction the trend all them on basis forecast only one representative. First, we assign each adjoint one, which consists a sequence F1-transform components. Then, they are grouped together similarity, principal is selected in its course forecasted. Finally, directions other from same computed using special methods fuzzy natural logic.

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