Prediction of Rainfall Characteristics Based on Fuzzy Expert System
U. Ramya Devi1, K. Uma2
1U. Ramya Devi , P.G. & Research Department of Mathematics, Poombuhar College (Autonomous), Melaiyur, Nagapattinam, Tamil Nadu, India.
2K. Uma, P.G. & Research Department of Mathematics, Poombuhar College (Autonomous), Melaiyur, Nagapattinam, Tamil Nadu, India.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 1125-1130 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6291018520/2020©BEIESP | DOI: 10.35940/ijrte.E6291.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Rainfall prediction is one of the most extremely important and trickiest job in the modern world because, Rain is the lifeblood of human survival, of life on our planet. Gorgeous beauty of fuzzy logic was described by various author for prediction in various field. In this work, fuzzy logic is applied in proposing a model to predict rainfall percentage with parameters. Fuzzy Expert System inputs(parameter) include the temperature, humidity, wind speed , Dew point etc., with Output as rainfall Percentage .Here we develop a new model as RPFES Model to predict rainfall percentage for particular geographical location of Tamil Nadu. There are four steps for developing RPFES Model : The first step is Fuzzification process by triangular membership function for representing the input variables and output variables. The next step is Fuzzy Inference with Fuzzy Rules the method applied in this research work are Root Sum Square (RSS). The Root Sum Square of drawing inference was employed to infer the data from the fuzzy rules developed and finally we move to Defuzzification process for getting Rainfall percentage by individually. From RPFES Model, Individual Person get the Rainfall Prediction as Percentage with purely by Fuzzy Logic and not by Metrological Center. Weather Prediction is the major essential and challenging operational responsibilities which are carried out by meteorological services all over the world.
Keywords: Fuzzy Logic, Root sum Square, RPFES Model, Triangular.
Scope of the Article: Expert Systems.