FUZZY LOGIC DECISION SUPPORT SYSTEM FOR MANGROVES RESTORATION IN EASTERNSAMAR, PHILIPPINES

Experts claimed that the failure by 80% - 90% of government-initiated mangrove restoration projects were directed towards ignorance of the real mangrove inhabitable environment. Thus, information dissemination recently steered from flyers and manuals to development of mobile and web apps, aiming for lower mortality rates. In this study, a Decision Support System (DSS) was developed that is capable of pinpointing where and when to plant, and what mangrove species to plant at a given location. It aims to give the users some scenarios of how plants will probably grow at a given location, and planted at a given time. The DSS was designed using rule-based system approach, where decision tables was based from studying experts� mangroves ecosystem restoration guidelines. Factors identified were considered user inputs to determine rules for inference engine to check on most appropriate planting techniques, time and locations. To determine accuracy of the DSS, the system output were compared to observed data from 6 local mangrove plantations in the province. Test results showed 86% accuracy from 60 random output comparison from actual situation on field.