Title :
A Fuzzy Expert System to Diagnose Diseases with Neurological Signs in Domestic Animal
Author :
Jampour, Mahdi ; Jampour, Mohsen ; Ashourzadeh, Maryam ; Yaghoobi, Mahdi
Author_Institution :
Mashhad Branch, Artificial Intell. Dept., Islamic Azad Univ., Mashhad, Iran
Abstract :
One of the important subjects regarding to human health is animal health and domestic products health undoubtedly are the most basic health factors, although, there are complete and correct information in the disease of animal with neurological involvement, however, generally defined neurological diseases only on the basis of clinical symptoms is not so simple as so proximity neurological signs and in most instance veterinarians will doubt in diagnose. In this article according to important of subject we use the fuzzy logic model approach to determine and calculate lack or involvement of each the possible disease with neurological signs and sufficiently reduced natural Uncertainty regarding the diagnosis of disease.
Keywords :
diagnostic expert systems; diseases; fuzzy logic; fuzzy systems; health care; medical expert systems; neurophysiology; zoology; animal health; clinical symptoms; disease diagnosis; domestic animal; domestic products health; fuzzy expert system; fuzzy logic model approach; health factors; human health; natural uncertainty; neurological diseases; neurological involvement; proximity neurological signs; veterinarians; Computers; Cows; Diseases; Expert systems; Fuzzy logic; Fuzzy systems; Cattle; Disease Diagnosis; Fuzzy expert system; Fuzzy logic; Neural Diseases;
Conference_Titel :
Information Technology: New Generations (ITNG), 2011 Eighth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-61284-427-5
Electronic_ISBN :
978-0-7695-4367-3
DOI :
10.1109/ITNG.2011.217