Grey Relational Analysis and Fuzzy System Theory Use in Livestock
Özet
Grey system theory is used when such assumptions as
homogeneity of variances, normality of distribution and large sample size
that are required to be met for the application of parametric statistical
analysis methods are not valid. One of the subcomponents of grey system
theory, grey relational analysis is a method that uses Gray Relation
Coefficient (GRC) to grade, classify and make decisions on a data set. This
study examined the effects of zeolite, organic acid and zeolite-organic acid
on egg quality and performance. Study sample consists of 24 twenty-eightweek-old Lohmann white laying hens. Gray relational analysis, basic
component analysis and fuzzy system theory methods were used
depending on the quality and performance criteria of the eggs. The results
of the analyses show that organic acid (P) -added groups (P6, P3, P1) in
general are eggs of the highest quality. In control group K1, eggs of
sample (Z+P)1, to which zeolite and organic acid were added together, are
eggs of high quality. Eggs to which zeolite was added are of average
quality while those in the control group and zeolite-organic acid group are
of low quality
Atıf için künye
Yağanoğlu, A. M., & Topal, M. (2018). Grey Relational Analysis and Fuzzy System Theory Use in Livestock. I. International Agricultural Science Congress, Van (ss. 169).
BibTeX
@inproceedings{yaganoglu2018-262272,
author = {Yağanoğlu, Aycan Mutlu and Topal, Mehmet},
title = {Grey Relational Analysis and Fuzzy System Theory Use in Livestock},
booktitle = {I. International Agricultural Science Congress},
address = {Van},
year = {2018},
pages = {169},
url = {https://akademik.atauni.edu.tr/yayinlar/262272-grey-relational-analysis-and-fuzzy-system-theory-use-in-livestock}
}