TITLE:
Data Prediction Model Using Combination of Clustering and Fuzzy Technique
AUTHORS:
Md. Mafiul Hasan Matin, Tanzim Kabir, Amina Khatun, Md. Imdadul Islam
KEYWORDS:
Subtractive Clustering, Fuzzy Interface System, ANN, Scatterplot and Surface Plot
JOURNAL NAME:
Journal of Computer and Communications,
Vol.8 No.7,
July
30,
2020
ABSTRACT: The analysis of environmental daily evaporation plays a vital role in the field of agriculture. It is very essential to know the daily evaporation rate of a particular area for proper cultivation. So, we need a standard prediction model which can predict the daily evaporation. In this paper, we use subtractive clustering and Fuzzy logic to predict daily evaporation of a particular area. The input data used in the paper are: maximum soil temperature, average soil temperature, average air temperature, minimum relative humidity, average relative humidity and total wind, which are related to the daily evaporation of a particular area as the output. The accuracy of output of the paper is compared with the previous model of Artificial Neural Network (ANN) and we get better result towards the target value. The finding of the paper is applicable in environmental science, geological science and agriculture.