Rankıng Districts of Çanakkale in Terms of Rangeland Quality by Fuzzy MCDM Methods
Yazarlar (3)
Dr. Öğr. Üyesi Zeynep GÖKKUŞ Kastamonu Üniversitesi, Türkiye
Prof. Dr. Sevil Şentürk Eskişehir Teknik Üniversitesi, Türkiye
Doç. Dr. Fırat Alatürk Çanakkale Onsekiz Mart Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Journal of Agricultural, Biological and Environmental Statistics (Q2) | ||
| Dergi ISSN | 1085-7117 Dergi Bilgileri (2023) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 04-2023 |
| Kabul Tarihi | 17-02-2023 | Yayınlanma Tarihi | 05-04-2023 |
| Cilt / Sayı / Sayfa | 4 / 28 / 1–28 | DOI | 10.1007/s13253-023-00532-7 |
| Makale Linki | http://dx.doi.org/10.1007/s13253-023-00532-7 | ||
| UAK Araştırma Alanları |
İstatistiksel Analiz
Uygulamalı İstatistik
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| Özet |
| Due 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. |
| Anahtar Kelimeler |
| Rangeland condition | Fuzzy sets | MCDM | AHP | TOPSIS | VIKOR |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 2 |