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The development of a fuzzy decision support systems for fig quality classification   
Yazarlar (2)
Prof. Dr. Özkan GÖRGÜLÜ Prof. Dr. Özkan GÖRGÜLÜ
Kırşehir Ahi Evran Üniversitesi, Türkiye
Oğuzhan Çalışkan
Türkiye
Devamını Göster
Özet
Classification of agricultural products for international market has a crucial importance. This classification is usually made by experts. Increasing cost and bias are the main limiting factors in such classification. Fuzzy logic theory has a potential to overcome these problems. The objective of this study was to apply fuzzy logic approach to quality classification of figs, as a decision-support system, which has significant share in international markets. Our results demonstrated that the classifications by fuzzy logic and by expert showed %94.26 similarity. Fig classification will be made by using the technological instruments such as electronic cencors with the supportive decision of fuzzy logical to get the fully automation system in fig trade.
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü SCOPUS dergilerinde yayınlanan tam makale
Dergi Adı Journal of Agricultural Science and Technology
Dergi ISSN 1680-7073 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCOPUS
Makale Dili Türkçe
Basım Tarihi 04-2011
Cilt No 4
Sayı 1
Makale Linki https://www.cabdirect.org/cabdirect/abstract/20113150282
Atıf Sayıları
Google Scholar 1

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