An Application of Fuzzy Pearson Correlation Methods in Animal Sciences
Öz
How to evaluate an appropriate correlation to find the fuzzy relationship between variables is an important topic in the lactation milk yield and reproduction characteristics measurement. Especially when the data illustrate uncertain, inconsistent and incomplete type, fuzzy statistical technique has some theoric features that help resolving unclear thinking in human logic and the source of uncertainties in the natural structure of the data. Traditionally, we use Pearson’s Correlation Coefficient to measure the correlation between data with real value. However, when the data are composed of fuzzy numbers, it is not feasible to use such a traditional approach to determine the fuzzy correlation coefficient. This study proposes the calculation of fuzzy correlation with triangular of fuzzy data. Using Matlab application, fuzzy Pearson correlation coefficients and their membership degrees which belong to Holstein Friesian cows for the relationship between lactation milk yield, the age of the animal at lactation, number of days milked, service period and first calving age were calculated (-0.0056; 0.95), (0.1419; 0.98), (-0.272;1.0) and (-0.2543; 0.90) respectively. The membership degrees of the calculated fuzzy Pearson coefficient values are more reliable and a consistent coefficient since it determines the size of the relationship between the sets, which belong to variables. As a result of the study, the fuzzy Pearson correlation coefficient analysis may be preferred to calculate the degree of uncertainty and membership degrees between variables that should be used in studies to increase lactation milk yield.
Anahtar Kelimeler
Ayrıntılar
Birincil Dil
İngilizce
Konular
Hayvansal Üretim (Diğer)
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
25 Aralık 2021
Gönderilme Tarihi
26 Nisan 2021
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2021 Cilt: 35 Sayı: 3
APA
Topuz, D., & Keskin, İ. (2021). An Application of Fuzzy Pearson Correlation Methods in Animal Sciences. Selcuk Journal of Agriculture and Food Sciences, 35(3), 265-271. https://izlik.org/JA46KA28TU
AMA
1.Topuz D, Keskin İ. An Application of Fuzzy Pearson Correlation Methods in Animal Sciences. Selcuk J Agr Food Sci. 2021;35(3):265-271. https://izlik.org/JA46KA28TU
Chicago
Topuz, Derviş, ve İsmail Keskin. 2021. “An Application of Fuzzy Pearson Correlation Methods in Animal Sciences”. Selcuk Journal of Agriculture and Food Sciences 35 (3): 265-71. https://izlik.org/JA46KA28TU.
EndNote
Topuz D, Keskin İ (01 Aralık 2021) An Application of Fuzzy Pearson Correlation Methods in Animal Sciences. Selcuk Journal of Agriculture and Food Sciences 35 3 265–271.
IEEE
[1]D. Topuz ve İ. Keskin, “An Application of Fuzzy Pearson Correlation Methods in Animal Sciences”, Selcuk J Agr Food Sci, c. 35, sy 3, ss. 265–271, Ara. 2021, [çevrimiçi]. Erişim adresi: https://izlik.org/JA46KA28TU
ISNAD
Topuz, Derviş - Keskin, İsmail. “An Application of Fuzzy Pearson Correlation Methods in Animal Sciences”. Selcuk Journal of Agriculture and Food Sciences 35/3 (01 Aralık 2021): 265-271. https://izlik.org/JA46KA28TU.
JAMA
1.Topuz D, Keskin İ. An Application of Fuzzy Pearson Correlation Methods in Animal Sciences. Selcuk J Agr Food Sci. 2021;35:265–271.
MLA
Topuz, Derviş, ve İsmail Keskin. “An Application of Fuzzy Pearson Correlation Methods in Animal Sciences”. Selcuk Journal of Agriculture and Food Sciences, c. 35, sy 3, Aralık 2021, ss. 265-71, https://izlik.org/JA46KA28TU.
Vancouver
1.Derviş Topuz, İsmail Keskin. An Application of Fuzzy Pearson Correlation Methods in Animal Sciences. Selcuk J Agr Food Sci [Internet]. 01 Aralık 2021;35(3):265-71. Erişim adresi: https://izlik.org/JA46KA28TU