Diagnostics of Animals Diseases Based on the Principles of Neutrosophic Sets and Sugeno Fuzzy Inference

This study is devoted to the development of improved methods for diagnosing cattle diseases based on the principles of neutrosophic sets and Sugeno fuzzy inference. The study proposed new algorithms and models that can effectively process fuzzy and uncertain information characteristic of veterinary diagnostics. The goal of the work is to create a diagnostic system that will have high accuracy and the ability to adapt to various conditions and characteristics of specific disease cases. The expected result of the study is aimed at developing an effective tool for the early detection of diseases in cattle, which will significantly improve the efficiency of veterinary practice and animal welfare.