Development of intelligent decision support system using fuzzy cognitive maps for migratory beekeepers

Authors: AHMET ALBAYRAK, FECİR DURAN, RAİF BAYIR

Abstract: This study presents the development of an intelligent information system using fuzzy cognitive maps that provides information to migratory beekeepers about the nectar flow and climate conditions in the regions they will visit. Beekeeping is an agricultural activity essentially focused on honey production. High honey yields in beekeeping can be achieved through migratory beekeeping. Migratory beekeepers complete the honey production season by carrying their hives to regions with high nectar flow. Beekeepers decide on the regions they will visit based on their previous experiences. In this study, a software-based system that provides information to the beekeepers about the honey yield in the regions they will visit has been developed. It is an intelligent information system developed using fuzzy cognitive maps that helps the beekeepers in choosing the region they will visit.

Keywords: Fuzzy cognitive maps, intelligent information system, migratory beekeeping, honey bee

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