Live body weight prediction in hair goats by application of fuzzy logic

Abstract

The aim of this study is to try to develop fuzzy expert system for predicting live body weight in hair goats. As material, 81 hair goats grown in Siirt Province, Turkey were used. A fuzzy expert system was designed using heart girth, body depth and body length measurements of the animals. Fuzzy Logic Toolbox of MATLAB Software was used for fuzzy expert system development. The Mamdani inference method was used as inference method and the Centroid method was chosen as the defuzzification method. A correlation r = 0.95 was found between the live body weight predicted by the developed system and the live body weight data obtained by actual weighing. The determination coefficient of the model was calculated as R2 = 0.90. As a result, we can say that fuzzy expert systems have better results in livestock with uncertainties and incomplete data and the development of these kinds of systems in the future is recommended.