Using AHP and PROMETHEE multi-criteria decision making methods to define suitable apiary locations

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dc.authoridSARI, FATIH/0000-0001-8674-9028
dc.contributor.authorSari, Fatih
dc.contributor.authorKandemir, Irfan
dc.contributor.authorCeylan, Durmus Ali
dc.contributor.authorGul, Aziz
dc.date.accessioned2024-09-18T19:52:31Z
dc.date.available2024-09-18T19:52:31Z
dc.date.issued2020
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractBeekeeping activities have a rapidly increasing importance due to their derived products and their contributions to human health, biodiversity, agriculture, and pollination. Moreover, beekeeping can play a major role in supporting rural development and bringing the benefits of sustainable developments and productivity. Thus, the decision on correct apiary locations via suitability analysis techniques seems essential to sustain and increase the yield and efficiency. However, this decision-making process requires a large number of parameters including the topography of the field surrounding environment and climate conditions. At this point, Multi Criteria Decision Analysis techniques can provide efficient solutions for decision making on suitable apiary locations. In this study, suitable apiary site selection analysis for beekeeping activities via Analytical Hierarchy Process (AHP) and The Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) methods was proposed for Konya city located in Central Anatolia as a pilot application. Aspect, elevation, slope, flora, water resources, roads, railroads, settlements, electricity lines, buildings, precipitation, and natural disaster area criteria were assessed to generate beekeeping suitability for apiaries. The restrictions and requirements of beekeeping activities were specified considering expert beekeeper decisions and recent studies for the study area. The AHP and PROMETHEE suitability maps were validated with existing 461 apiary locations to be able to determine the reliability and applicability.en_US
dc.identifier.doi10.1080/00218839.2020.1718341
dc.identifier.endpage557en_US
dc.identifier.issn0021-8839
dc.identifier.issn2078-6913
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85078931195en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage546en_US
dc.identifier.urihttps://doi.org/10.1080/00218839.2020.1718341
dc.identifier.urihttps://hdl.handle.net/20.500.12483/7487
dc.identifier.volume59en_US
dc.identifier.wosWOS:000512583700001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofJournal of Apicultural Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAHPen_US
dc.subjectbeekeepingen_US
dc.subjectGeographical Information Systemsen_US
dc.subjectmulti-criteria decision analysisen_US
dc.subjectPROMETHEEen_US
dc.titleUsing AHP and PROMETHEE multi-criteria decision making methods to define suitable apiary locationsen_US
dc.typeArticleen_US

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