The notion of fuzzy soft sets in medical ailment diagnosis

Autor: D. U. Emioma, O. F. Imaga, S. O. Edeki
Rok vydání: 2022
Předmět:
Zdroj: Journal of Physics: Conference Series. 2199:012032
ISSN: 1742-6596
1742-6588
Popis: 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.
Databáze: OpenAIRE