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dc.contributor.authorGökkuş, Zeynep
dc.contributor.authorŞentürk, Sevil
dc.contributor.authorAlatürk, Fırat
dc.date.accessioned2023-09-09T12:02:59Z
dc.date.available2023-09-09T12:02:59Z
dc.date.issued2023en_US
dc.identifier.citationGökkuş, Z., Şentürk, S., & Alatürk, F. (2023). Rankıng Districts of Çanakkale in Terms of Rangeland Quality by Fuzzy MCDM Methods. Journal of Agricultural, Biological and Environmental Statistics, 1–28. https://doi.org/10.1007/s13253-023-00532-7en_US
dc.identifier.issn1085-7117 / 1537-2693
dc.identifier.urihttps://doi.org/10.1007/s13253-023-00532-7
dc.identifier.urihttps://hdl.handle.net/20.500.12428/4540
dc.description.abstractDue diligence of rangelands, which are among the renewable energy sources, is very important for improvement projects. In this study, it is proposed to use fuzzy multi-criteria decision-making (MCDM) methods as a supportive statistical approach in examining rangeland conditions. Among these methods, fuzzy AHP, TOPSIS and VIKOR are explained. Vegetation data of a rangeland condition determination project were examined by these methods. According to the results, the fuzzy MCDM methods provide effective support in determining the rangeland conditions numerically. For this reason, it is recommended to be used in similar studies.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAHPen_US
dc.subjectFuzzy setsen_US
dc.subjectMCDMen_US
dc.subjectRangeland conditionen_US
dc.subjectTOPSISen_US
dc.subjectVIKORen_US
dc.titleRanking Districts of canakkale in Terms of Rangeland Quality by Fuzzy MCDM Methodsen_US
dc.typearticleen_US
dc.authorid0000-0003-3394-5855en_US
dc.relation.ispartofJournal of Agricultural, Biological, and Environmental Statisticsen_US
dc.departmentFakülteler, Ziraat Fakültesi, Tarla Bitkileri Bölümüen_US
dc.institutionauthorAlatürk, Fırat
dc.identifier.doi10.1007/s13253-023-00532-7en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorwosidAAF-9832-2020en_US
dc.authorscopusid57193667323en_US
dc.identifier.wosqualityQ3en_US
dc.identifier.wosWOS:000963709000001en_US
dc.identifier.scopus2-s2.0-85151533688en_US


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