Abstract

Rainfall plays a vital role in human life rather than other weather events. As the variations are unpredictable, it difficult to predict rainfall over a region, so that rainfall forecasting carried out by the metrological department has been most crucial and demanding one. Fuzzy logic models have been proposed to perform forecasting, and its prime operations are fuzzification and defuzzification. These models are simple to employ but offer better results than statistical models. The present study explores the strength of forecasting models based on fuzzy logic rules. Furthermore, predicted results are compared with the actual rainfall data.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call