AN ANALYSIS OF THE SHORTCOMINGS OF WEATHER FORECAST BY IMD OVER DEVELOPED COUNTRIES USING NEUTROSOPHIC FUZZY WEIGHTED MULTI EXPERT ARTIFICIAL NEURAL NETWORK SYSTEM
- 1. Department of Mathematics, Arul Anandar College, Karumathur, Tamilnadu
- 2. PG & Research Department of Mathematics, Periyar EVR College, Trichy, Tamilnadu
- 3. Department of Mathematics, GTN Arts College, Dindigul, Tamilnadu
Description
The Indian Meteorological Department (IMD) plays a vital role in forecasting weather. Since India, basically an agricultural nation which purely depends on monsoons, the prediction of future happenings such as rainfall, extreme coolness, hotness, disasters such as flood, storm, strong wind blow and so on are very much important in long term planning. But the prediction of weather fails many a times in India which makes us to compare with the developed countries such as USA, Japan and other western nations where the accuracy of weather prediction is very high. The factors contributing to the shortcomings of IMD must be analyzed for suggesting better ideas and tactics for which, this research article is a step towards it. In this paper Neutrosophic Fuzzy weighted multi expert artificial neural network system is employed which is an inventive and distinct approach from the earlier ones.
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References
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