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