The proposed model automatically adapts the analysis window size of fuzzy time series based on the prediction accuracy in the training phase and uses heuristic ...
Nov 17, 2010 · Abstract—A fuzzy time series has been applied to the prediction of enrollment, temperature, stock indices, and other domains.
The proposed ATVF model automatically adapts the analysis window size of fuzzy time series based on the prediction accuracy in the training phase and uses ...
Oct 11, 2023 · The proposed model automatically adapts the analysis window size of fuzzy time series based on the prediction accuracy in the training phase and ...
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Recently Adaptive Time-Variant Model for fuzzy time series (ATVF) has been proposed with a computational method and an adaptive selection of analysis windows.
Dec 1, 2010 · These studies use fixed analysis window sizes for forecasting. In this paper, an adaptive time-variant fuzzy-time-series forecasting model (ATVF) ...
An improved adaptive adaptive Time-Variant Model for fuzzy time series (ATVF) is proposed and this model try to predict the Alabama University enrollments ...
In the proposed method, fuzzy relationships are defined by feed forward neural networks and adaptive expectation model is used for adjusting forecasted values.
Recently Adaptive Time-Variant Model for fuzzy time series (ATVF) has been proposed with a computational method and an adaptive selection of analysis windows.
The time variance indicates if an FTS model M changes along the time. If the model is static, it is called Time Invariant, otherwise Time-Variant [8–10]. A ...