Rainfall Prediction Using Rule-based Fuzzy Inference System


Term Paper, 2023

7 Pages, Grade: 1.0


Abstract or Introduction

My main goal in this paper is to lessen the likelihood of flooding and a drought. My main area of interest is the use of temperature, atmospheric and variance to forecast rainfall. Applying rule-based reasoning and fuzzy logic, I attempted to predict when it will rain. Mamdani implication is used to prepare the fuzzy rule foundation. Fuzzy tool box and MATLAB Simulink are the programs used for this. The predicted results are derived using the triangle membership function. The input variables for our model are humidity, atmospheric pressure, temperature, and clouds. All but clouds have three membership functions. There are three membership functions for the output variable. The software used for all implementations is MATLAB 7.9.

Details

Title
Rainfall Prediction Using Rule-based Fuzzy Inference System
College
University of Chittagong
Grade
1.0
Author
Year
2023
Pages
7
Catalog Number
V1321941
ISBN (eBook)
9783346813862
Language
English
Keywords
Fuzzy logic, Fuzzy interface system, Mamdani, Rainfall, Rules
Quote paper
Abdur Rahman (Author), 2023, Rainfall Prediction Using Rule-based Fuzzy Inference System, Munich, GRIN Verlag, https://www.grin.com/document/1321941

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