• DocumentCode
    2126769
  • 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
  • fYear
    2011
  • fDate
    11-13 April 2011
  • Firstpage
    1021
  • Lastpage
    1024
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/ITNG.2011.217
  • Filename
    5945375