文章基本信息

标题：Optimization of Terminal Aerodrome Forecast
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作者：Aditi Sharma ; Dr. Mamta Bansal
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：4
页码：4015-4016
出版社：TechScience Publications
摘要：Weather forecasting is a critical application in meteorology and has been a standout amongst the most scientifically and technologically difficult issues extreme and broad. Climate determining is an capricious procedure that includes various particular fields of mastery. A fuzzy logic based methodology can be implemented with the Case based Reasoning (CBR) system. CBR and fuzzy set theory both have their own capabilities so that we combine both of them then we can get a strong solution to solve a problem. Case Based Reasoning is method of solving a new problem with the help of old solutions. According to fuzzy k-nn based prediction algorithm we can get the predictable parameters such as visibilities, cloud ceilings. This paper emphasis on the comparative study of case based reasoning and fuzzy logic. In this paper we discuss about the Mamdani’s method implementation upon the twelve factors required in TAF (Terminal Aerodrome Forecast).
关键词：Weather forecasting; Fuzzy Logic; Mamdani;Method; Fuzzy k-nn based algorithm; Case based Algorithm