DOIONLINE

DOIONLINE NO - IJSCAI-IRAJ-DOIONLNE-16655

Publish In
International Journal of Soft Computing And Artificial Intelligence (IJSCAI)-IJSCAI
Journal Home
Volume Issue
Issue
Volume-7,Issue-2  ( Nov, 2019 )
Paper Title
Use of Fuzzy Set Theory in the Medical Diagnosis
Author Name
Kiran Pal, V. Kumar, H.D. Arora
Affilition
Research Scholar, Department of Mathematics, Amity University, Noida, India Assistant Professor, Department of Mathematics, DITE, Delhi, India Faculty of Engineering and Technology Manav Rachna International University, Faridabad Professor, Department of Mathematics, Amity University, Noida, India
Pages
26-30
Abstract
World over the problem of scarcity of qualified doctors is alarming. Uncertain nature of calamities and seasonal make it further difficult to manage this. In this work an attempt is made to highlight the use of fuzzy set theory in the field of medical diagnosis. Fuzzy set theory allows to incorporate the opinion of a number of doctors in proper diagnosis of criticaldiseases. It is also helpful in providing proper diagnosis at an early stage of diseases in remote areas with use of some trained technical medical experts. Therefore, it is proven as an effective tool for the medical diagnosis. Keywords - Medical Diagnosis, Fuzzy Set Theory, Fuzzy Number, MADM, VBD
  View Paper