Use of some multicriteria decision-making methods such as grey relational analysis (GRA), the complex proportional assessment (COPRAS), and weighted aggregated sum product …
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Prof. Dr. Hakan ŞEVİK Kastamonu Üniversitesi, Türkiye
Makale Türü Özgün Makale (Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale)
Dergi Adı World Journal of Advanced Research and Reviews
Makale Dili Basım Tarihi 01-2022
Cilt / Sayı / Sayfa 16 / 0 / 539–52 DOI
Makale Linki https://www.academia.edu/download/111713313/WJARR-2022-1374.pdf
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Aiming to determine the quantitative sapling characteristics that are important for sapling nursing methods, the present study was carried out on 2-year-old naked root Anatolian Black Pine (Pinus nigra Arnold. subsp. pallasiana (Lamb.) Holmboe) saplings obtained from four different seed origins from Denizli Forest Sapling Nursery Directorate. In this study, the selection of these four seed origins was examined using multicriteria decision-making methods (MCDM) by the determination of quantitative differences between origins and the use of suitable origins in practice. Within the context of the present study, the weight coefficients (significance degrees) of saplings such as height, root neck diameter, and last-year shoot length, and root length were measured using the Criteria Importance Through Intercritera Correlation (CRITIC) method. Secondly, the development performances of these four black pine origins were examined using Grey Relation Analysis (GRA), The Complex Proportional Assessment (COPRAS) and Weighted Aggregated Sum Product Assessment (WASPAS) methods. Besides that, since CRITIC-based GRA, COPRAS, and WASPAS methods showed complete consistency in terms of performance ranking, proportional values were very close to each other, and these methods have positive and very high levels of relationships with each other, it was considered that these methods can be alternative to each other in any measurement ranking or performance measurement. Accordingly, all these multicriteria decision-making methods (GRA, COPRAS, and WASPA) were successfully implemented in origin selection. Given the results …
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