Case –Based Reasoning (CBR) Based on Fuzzy Set Approach For Rainfall Prediction

Abstract

Rainfall predictions and warnings are the most important services provided by the meteorological profession. Predictions are used by government and industry to protect life and to improve the efficiency of operations, and by individuals to plan a wide range of daily activities. The basic idea of this system is that CBR (case –based reasoning) solves new case by using solution to past cases. Rainfall predictions for the present case are made from the outcomes of past cases. A fuzzy set approach based methodology for knowledge acquisition is developed and used for retrieval of temporal cases in a Case –Based Reasoning (CBR) system. This system is to predict daily and monthly Rainfall Amounts (RFA) and Rainfall Type (RFT).