# A type-2 fuzzy rule-based model for diagnosis of COVID-19

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-type-2-fuzzy-rule-based-model-for-diagnosis-of-covid-19/

## Facts

| Field | Value |
| --- | --- |
| Author Names | İhsan Şahin,Erhan Akdoğan,Mehmet Emin Aktan |
| Citations | 7 |
| DOI | 10.55730/1300-0632.3970 |
| Fields | Computer Science,Mathematics,Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://journals.tubitak.gov.tr/cgi/viewcontent.cgi?article=3970&context=elektrik |
| OpenAlex ID | https://openalex.org/W4319990266 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Mehmet Emin Aktan](https://scholariq.org/researchers/mehmet-emin-aktan/)

## Paper journal

- [TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES](https://scholariq.org/journals/turkish-journal-of-electrical-engineering-and-computer-sciences/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [COVID-19 epidemiological studies](https://scholariq.org/topics/covid-19-epidemiological-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.