Application of Algorithm of Fuzzy Rule Conclusions in Determination of Animal’s Diseases
Holida PrimovaSamarkand Branch of Tashkent University of Information Technologies 47A, Shokhrukh Mirzo str., Samarkand city, UzbekistanД.Т. МухамедиеваTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Amir Temur Street, 108, 1002, Tashkent, UzbekistanLola Safarova“Research Institute for the Development of Digital Technologies and Artificial Intelligence”, 17A Buz-2, Tashkent, 100124, Uzbekistan
ABI
Аннотация
Abstract Today, the detection of non-communicable animal diseases, the analysis of experimental data and the construction of a mathematical model is one of the main problems. In the article a method for determining the type of disease in cattle using a fuzzy inference rule algorithm is discussed. In our country, diseases with ketosis, microelementosis, ostradistraphia and secondary ostradithraphy in livestock, especially cattle, are determined by errors in determining the type of disease due to their similar symptoms. Since the symptoms of these diseases are interrelated and one of them can cause the other, solving this problem using fuzzy rule algorithms helps to reduce the error in determining the type of disease.
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