Sugeno–based Fuzzy Logic Evaluation on the Effect of Weather in Coconut Scale Insect Infestation
Juliet O. Niega
Juliet O. Niega, Department of Computer Engineering, University of Perpetual Help System DALTA– Calamba UPHSD-Cal Calamba, Laguna, Philippines.
Manuscript received on 02 June 2019 | Revised Manuscript received on 27 June 2019 | Manuscript Published on 04 July 2019 | PP: 116-119 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A10230681S419/2019©BEIESP
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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: The purpose of this study is to evaluate the significant influence of weather in Coconut Scale Insect (CSI) Infestation happened in Batangas using the Fuzzy logic approach. The CSI and weather historical data covering the years of 2012-2014 were utilized in the study. The weather parameters used are the temperature, relative humidity, and wind speed. Fuzzy logic applying the Sugeno fuzzy inference system (FIS) in Matlab was used to simulate the effect of each weather parameters in the infestation. The developed FIS was comprised of the application of triangular membership function, formulation of 27 If-Then rules, and the center of gravity for defuzzification process. The developed system was evaluated and tested by generating 100 data samples.
Keywords: Coconut Scale Insect, Weather Parameters, Fuzzy Logic, Sugeno Inference System.
Scope of the Article: Fuzzy Logic