An Application of Fuzzy Pearson Correlation Methods in Animal Sciences

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dc.authorid0000-0001-9415-1421en_US
dc.authorid0000-0001-9358-7522en_US
dc.contributor.authorTopuz, Derviş
dc.contributor.authorKeskin, İsmail
dc.date.accessioned2023-08-03T13:14:04Z
dc.date.available2023-08-03T13:14:04Z
dc.date.issued2021en_US
dc.departmentSelçuk Üniversitesi, Ziraat Fakültesi, Zootekni Bölümüen_US
dc.description.abstractHow 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.en_US
dc.identifier.citationTopuz, 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. DOI: 10.15316/SJAFS.2021.256en_US
dc.identifier.doi10.15316/SJAFS.2021.256en_US
dc.identifier.endpage271en_US
dc.identifier.issn2458-8377en_US
dc.identifier.issue3en_US
dc.identifier.startpage265en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/49154
dc.identifier.volume35en_US
dc.institutionauthorKeskin, İsmail
dc.language.isoenen_US
dc.publisherSelçuk Üniversitesien_US
dc.relation.ispartofSelcuk Journal of Agriculture and Food Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectHolstein Friesian cowsen_US
dc.subjectLactation Milk Yielden_US
dc.subjectReproductive Propertiesen_US
dc.subjectFuzzy logicen_US
dc.subjectFuzzy Pearson correlation coefficienten_US
dc.titleAn Application of Fuzzy Pearson Correlation Methods in Animal Sciencesen_US
dc.typeArticleen_US

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