The development of a fuzzy decision support systems for fig quality classification
Yazarlar (2)
Prof. Dr. Özkan GÖRGÜLÜ Kırşehir Ahi Evran Üniversitesi, Türkiye
Oğuzhan Çalışkan Türkiye
| Makale Türü | Özgün Makale (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 / Sayı / Sayfa | 4 / 1 / – | DOI | – |
| Makale Linki | https://www.cabdirect.org/cabdirect/abstract/20113150282 | ||
| 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. |
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