Application of Fuzzy Logic–Based Techniques in Weather Prediction

The present study aims at predicting the amount of low and medium range precipitation in Kolkata during pre-monsoon season (March, April, May) for next 24 hours from the time of observation. The parameters involved in the study are temperature, windspeed and relative humidity. The methods used are Fuzzy If - Then rule and Defuzzification(Weighted Average Method).

It is interesting to note that the correct results are obtained in 60% cases. Most of the predictions are very close to the actual observations, the error lying between - 5 mm to + 5 mm. Only a few crosses this range of error. Those cases are yet to be explored.