- Selcuk Journal of Agriculture and Food Sciences
- Vol: 23 Issue: 47
- Fuzzy Logic Applications in Animal Breeding
Fuzzy Logic Applications in Animal Breeding
Authors : Nazire Memmedova, Ismail Keskin
Pages : 88-95
View : 8 | Download : 17
Publication Date : 2009-04-25
Article Type : Research Article
Abstract :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.Keywords : Bulanık Mantık, Bulanık Kümeler, Hayvancılık