Dairy Cattle Judging: An Innovative Application for Fuzzy Expert System

Industrial livestock husbandry is one of the most important industries in the field of providing nutrients. Nowadays, many branches of the science are applied in this industry, like genetic which is employed for improving the race of cattle. This science tries to transport good features from current generation to the next. Many researchers have reported that there is a meaningful correlation between facial type (physical form) and production. So, type judging is one of the best ways for evaluating useful features. This assessment contains those features that have maximum correlation for producing milk. Fulfilling of the form related to type judging, named Unified Score Card, needs very much experiences and skills. A judge (human expert) does this uncertainly with regarding to his experiences and skills. In this paper, possibility of developing of an expert system for replacing human expert is investigated. Also, the knowledge extraction methods are described. Fuzzy logic is used for dealing with uncertainty. Finally, the knowledge representation methods are discussed and fuzzy rule base is proposed for representing this knowledge.