A Deterministic Forecasting Model for Fuzzy Time Series

S.-T. Li and Y.-C. Cheng (Taiwan)


Fuzzy time series, forecasting, fuzzy logic, and fuzzy logical relationship.


With the capability of dealing with vague and incomplete data, fuzzy time-series has recently received more attentions. There have been a number of works devote to improving forecasting accuracy or reduction of computation overhead, yet several essential issues needs to be addressed. We propose a deterministic forecasting model by revising Chen’s high-order forecasting model for handling these issues. Experimental results on the enrollment data of the University of Alabama demonstrate that the resulting forecasting model outperforms the existing models in terms of accuracy.

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