Weather prediction using fuzzy sets and inference methodology

This paper presents the use of fuzzy inference methodologies in the predict ion of the weather, as a viable alternative to the classical complex, costl y and time-consuming weather prediction techniques. Basic weather elements which affect weather characteristics and which underlie the factors used in advanced weather prediction methods are fuzzified. They are then used in f uzzy weather prediction models based on fuzzy inferences. These models are simulated and the crisp results obtained using different existing and recen tly developed defuzzification strategies are compared with the actual weath er data. Further, conclusive comments are provided regarding the effectiven ess of the introduced models and the avenues which need to be explored in o rder to make them increasingly efficient.