A similarity measure of spherical fuzzy soft sets and its application
| Autor: | P. A. Fathima Perveen, Sunil Jacob John |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
020901 industrial engineering & automation business.industry Computer science 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Pattern recognition 02 engineering and technology Artificial intelligence Similarity measure business Fuzzy soft set Soft set |
| Zdroj: | INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCES-MODELLING, COMPUTING AND SOFT COMPUTING (CSMCS 2020). |
| ISSN: | 0094-243X |
| DOI: | 10.1063/5.0045743 |
| Popis: | Spherical fuzzy soft sets (SFSSs) generalize fuzzy soft sets, and are more flexible and reliable than existing other soft set models. In this work, a similarity measure and a corresponding weighted similarity measure between two SFSSs are proposed and some of their basic properties are discussed. Finally, the proposed similarity measure is applied to determine whether or not a patient may have a disease. |
| Databáze: | OpenAIRE |
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