Rainfall Prediction Using Rule-based Fuzzy Inference System
Abdur Rahman
Seminar paper from the year 2023 in the subject Computer Sciences - Artificial Intelligence, grade: 1.0, University of Chittagong, language: English, abstract: 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.
