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

Albayrak A., DURAN F., BAYIR R.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, vol.26, no.5, pp.2476-2488, 2018 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 26 Issue: 5
  • Publication Date: 2018
  • Doi Number: 10.3906/elk-1610-324
  • Journal Name: TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.2476-2488
  • Keywords: Fuzzy cognitive maps, intelligent information system, migratory beekeeping, honey bee, FLOW
  • Gazi University Affiliated: Yes

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.