EN
TR
Fuzzy Logic Applications in Animal Breeding
Öz
In statistics and probability theory we are working with certainty but our lives full of the uncertainties. Therefore, the human have to work with uncertainties to improve own resulting ability. Fuzzy logic uses approximation instead of exact information, imitating the human thinking. The basic difference between classical logic and fuzzy logic is, classical logic allows mathematics to use only extreme values. Therefore, modeling and controlling of complicated systems with classical mathematical methods is difficult, due to the complete inputs. The fuzzy set theory is based on an extension of the classical meaning of the term ‘set’ and formulates specific logical and arithmetical operations for processing imprecise and uncertain information. In this study, it was tried to explain the basic of the fuzzy logic due to the recently implementation of fuzzy logic in animal science, then was presented some samples of studies made in animal breeding.
Anahtar Kelimeler
Ayrıntılar
Birincil Dil
İngilizce
Konular
Hayvansal Üretim (Diğer)
Bölüm
Derleme
Yayımlanma Tarihi
25 Nisan 2009
Gönderilme Tarihi
1 Ocak 2009
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2009 Cilt: 23 Sayı: 47
APA
Memmedova, N., & Keskin, İ. (2009). Fuzzy Logic Applications in Animal Breeding. Selcuk Journal of Agriculture and Food Sciences, 23(47), 88-95. https://izlik.org/JA23SM52CS
AMA
1.Memmedova N, Keskin İ. Fuzzy Logic Applications in Animal Breeding. Selcuk J Agr Food Sci. 2009;23(47):88-95. https://izlik.org/JA23SM52CS
Chicago
Memmedova, Nazire, ve İsmail Keskin. 2009. “Fuzzy Logic Applications in Animal Breeding”. Selcuk Journal of Agriculture and Food Sciences 23 (47): 88-95. https://izlik.org/JA23SM52CS.
EndNote
Memmedova N, Keskin İ (01 Nisan 2009) Fuzzy Logic Applications in Animal Breeding. Selcuk Journal of Agriculture and Food Sciences 23 47 88–95.
IEEE
[1]N. Memmedova ve İ. Keskin, “Fuzzy Logic Applications in Animal Breeding”, Selcuk J Agr Food Sci, c. 23, sy 47, ss. 88–95, Nis. 2009, [çevrimiçi]. Erişim adresi: https://izlik.org/JA23SM52CS
ISNAD
Memmedova, Nazire - Keskin, İsmail. “Fuzzy Logic Applications in Animal Breeding”. Selcuk Journal of Agriculture and Food Sciences 23/47 (01 Nisan 2009): 88-95. https://izlik.org/JA23SM52CS.
JAMA
1.Memmedova N, Keskin İ. Fuzzy Logic Applications in Animal Breeding. Selcuk J Agr Food Sci. 2009;23:88–95.
MLA
Memmedova, Nazire, ve İsmail Keskin. “Fuzzy Logic Applications in Animal Breeding”. Selcuk Journal of Agriculture and Food Sciences, c. 23, sy 47, Nisan 2009, ss. 88-95, https://izlik.org/JA23SM52CS.
Vancouver
1.Nazire Memmedova, İsmail Keskin. Fuzzy Logic Applications in Animal Breeding. Selcuk J Agr Food Sci [Internet]. 01 Nisan 2009;23(47):88-95. Erişim adresi: https://izlik.org/JA23SM52CS