Prediction of Daily Maximum Temperatures Via Fuzzy Sets

Authors: HASAN TATLI, ZEKAİ ŞEN

Abstract: Fuzzy rule based modeling and fuzzy sets theory are examined in terms of their general characteristics. Fuzzy models are relatively very new in atmospheric science. Herein such a model is developed for estimation of daily maximum temperature through consideration of the fuzzy associative memory (FAM) bank approach, and the results are presented in their explicit forms.

Keywords: Estimation, fuzzy associative memory, fuzzy rule base, temperature

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