Emioma, C. C. and Imaga, O. F. (2022) The notion of fuzzy soft sets in medical ailment diagnosis. In: ICORTAR, 2022, Online.
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Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Fuzzy set, uncertainty, epidemiology |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Mathematics |
| Depositing User: | Mrs Patricia Nwokealisi |
| Date Deposited: | 02 Jun 2022 10:41 |
| Last Modified: | 02 Jun 2022 10:41 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/15928 |
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