Abstract
Due to rapid changes of global climate, weather forecasting has becomes one of the significant research fields. Modern airports maintain high security flight operations through precise knowledge of weather forecasting. The objectives of this research focused on two major parts; the weather forecasting model of an airport system and the fuzzy hierarchical technique used. In general, this research emphasizes on the building blocks of a weather forecasting application that could support Terminal Aerodrome Forecast by utilizing Mamdani model. The developed application considers variables, groups of weather elements, combination of weather elements in a group, web data sources and structured knowledge to provide a profound forecast.
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Ramli, A.A., Islam, M.R., Fudzee, M.F.M., Salamat, M.A., Kasim, S. (2014). A Practical Weather Forecasting for Air Traffic Control System Using Fuzzy Hierarchical Technique. In: Herawan, T., Ghazali, R., Deris, M. (eds) Recent Advances on Soft Computing and Data Mining. Advances in Intelligent Systems and Computing, vol 287. Springer, Cham. https://doi.org/10.1007/978-3-319-07692-8_10
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DOI: https://doi.org/10.1007/978-3-319-07692-8_10
Publisher Name: Springer, Cham
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