Рақамли технологияларнинг назарий ва амалий масалалари 7-tom 3-san (2024) · 61-67-betler
Improving Sugeno fuzzy independence using interval neutrosophy
Сафарова, Лола
Annotaciya
This research aims to develop improved methods for diagnosing diseases in cattle using the principles of neutrosophic sets and Sugeno fuzzy inference. The study proposed new algorithms and models that effectively process fuzzy and uncertain information characteristic of veterinary diagnostics. The main goal of the work is to create a diagnostic system with high accuracy and adaptability to various conditions and specific cases of diseases. The expected outcome is the development of an effective tool for early detection of diseases in cattle, which will significantly increase the efficiency of veterinary practice and improve animal welfare.
Диагностика заболеваний крупного рогатого скотанейтрософские множестванечеткий вывод Сугеноветеринарная диагностиканечеткая и неопределенная информациядиагностическая системаDiagnosis of cattle diseasesneutrosophic setsfuzzy sugeno inferenceveterinary diagnostics
Metadata derekkózi: jurnal OAI-PMH arxivi · Sindex tolıq mátindi saqlamaydı, derekkózge silteme beredi.