Mamdani Fuzzy Inference System using Three Parameters for Flood Disaster Forecasting in Bandung region

Abstract

This study aims to investigate the flood events forecast by applying the Mamdani fuzzy inference system and rule-based reasoning. For input and output linguistic variable of the model based on three parameters such as population density, altitude, as well the rainfall. Each variable has three to four membership functions. The data used come from the Statistic Bureau of Indonesia, National Disaster Management Authority, and Meteorology and Climatology Center of Indonesia for 2014 to present. A different model for each region was constructed depending on available data sets. We determine based our model on forty-eight fuzzy IF-THEN rules and fuzzy reasoning. The output variable which has three membership function takes from 220 to 402 as representative flooding level warning such as normal, alert, and danger. The results of the study have high agreements with recorded data in on site with increases the output values toward the real-time flood event. Therefore, if that area will be used for living, this will have risks that flood always is a threat to those areas.