Fuzzy Regression Models Using the Least-Squares Method based on the Concept of Distance: Simplified Approach
| dc.contributor.author | Al-Qudaimi, Abdullah | |
| dc.contributor.author | Yousef, Walid | |
| dc.date.accessioned | 2026-06-14T22:56:33Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | The study presents a simplified approach to fuzzy regression models using the least-squares method based on the concept of distance. It discusses fuzzy linear regression with fuzzy observations and proposes a method that simplifies parameter estimation while retaining the ability to model uncertainty in data. | en_US |
| dc.identifier | 10.30495/fomj.2021.1933334.1031 | |
| dc.identifier.citation | Al-Qudaimi, A., & Yousef, W. (2021). Fuzzy Regression Models Using the Least-Squares Method based on the Concept of Distance: Simplified Approach. Fuzzy Optimization and Modeling Journal (FOMJ), 2(3), 17-23. https://doi.org/10.30495/fomj.2021.1933334.1031 | en_US |
| dc.identifier.uri | https://repository.ust.edu.ye/handle/123456789/339 | |
| dc.identifier.uri | https://oiccpress.com/fomj/article/view/6450 | |
| dc.language.iso | en | |
| dc.publisher | OICC Press | en_US |
| dc.title | Fuzzy Regression Models Using the Least-Squares Method based on the Concept of Distance: Simplified Approach | en_US |
| dc.type | Article | en_US |