FUZZY-BASED M&E OF THE IFRM PERFORMANCE IN METRO MANILA

Abstract

 This study attempts to conduct a monitoring & evaluation (M&E) of the integrated flood risk management (IFRM) in Metro Manila. In this study, we monitored the performance level at each city in Metro Manila by carrying out a series of interviews and surveys. The performance for IFRM based on the 15 indicators we utilized in this study was appraised qualitatively by the practitioners from each city in Metro Manila. Then, the monitored qualitative appraisals were evaluated using the fuzzy set theory, which was a suitable method for handling imprecise or qualitative data. The indicators and qualitative appraisals were given fuzzyweights, and these were aggregated to evaluate the overall performance for IFRM for each city. The results show that majority of the cities in Metro Manila are performing above the Good level, but this level still suggests that more work and attention are needed to attain substantial achievements for IFRM. The approach in this study is suitable for M&E activities that heavily depended on qualitative data or information.