Open AccessFuzzy Matrix for Medical Application
Author(s) -
T. Geetha,
M. Usha
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.d1500.059720
Subject(s) - object (grammar) , triangular matrix , fuzzy logic , multiplication (music) , disease , matrix (chemical analysis) , membership function , medicine , function (biology) , thyroid function , computer science , mathematics , artificial intelligence , fuzzy set , thyroid , pure mathematics , pathology , combinatorics , materials science , composite material , evolutionary biology , invertible matrix , biology
The object of this paper is design a triangular AIFM for thyroid disease diagnosis, by making use of the notion of triangular AIFMs. Further, we extended our approach in the sector of addition and multiplication factors of triangular AIFMsbased on membership and non-membership function. In this work Elevated fever, headache, fatigue, eye pain, swollen are taken as important parameters of thyroid disease diagnosis. Finally, we presented a decision making problem based on one of the operation of triangular AIFMs.