Open AccessThe notion of fuzzy soft sets in medical ailment diagnosis
Author(s) -
D. U. Emioma,
O. F. Imaga,
S.O. Edeki
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2199/1/012032
Subject(s) - fuzzy logic , fuzzy set , complement (music) , artificial intelligence , mathematics , computer science , biochemistry , chemistry , complementation , gene , phenotype
People deal with the complexities of uncertain data; the most effective method for coping with uncertainty is the fuzzy set theory (Uncertain Sets) developed by Zadeh in 1965. This paper proposes a method to examine Sanchez’s medical diagnosis approach using Fuzzy Soft Complement in addition to a matrix representation of Fuzzy Soft Collection. Medical data from a particular hospital in Lagos, Nigeria, were collected and tested for diarrhea, cholera, and dysentery.