Handling uncertainty in rheological properties of green eggshell nanocomposites by a fuzzy-hybrid modeling approach: a comparative study
Yazarlar (5)
Yıldız Teknik Üniversitesi, Türkiye
Istanbul University-Cerrahpasa, Türkiye
Dr. Öğr. Üyesi Gizem Temelcan ERGENECOŞAR
Beykoz Üniversitesi, Türkiye
Yıldız Teknik Üniversitesi, Türkiye
Yıldız Teknik Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
|
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | Physica Scripta |
| Dergi ISSN | 0031-8949 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q2 |
| Makale Dili | İngilizce |
| Basım Tarihi | 02-2023 |
| Cilt No | 98 |
| Sayı | 3 |
| DOI Numarası | 10.1088/1402-4896/acb5d1 |
| Makale Linki | http://dx.doi.org/10.1088/1402-4896/acb5d1 |
| Özet |
| Fuzzy regression is an attractive application due to its ability to solve problems in the absence of accurate mathematical models. In this study, rheological properties of a bio-nanocomposite were predicted using fuzzy regression. The aim of study is to introduce the methodology and application of fuzziness in detail for handling uncertainty in the experimental data. In this context, rheological properties of green eggshell bio-nanocomposites are investigated using different operating parameters. Since the determination of surface tension is prone to experimental errors, a novel fuzzy-hybrid model is proposed in addition to a crisp model. Statistical error analysis is conducted to assess the validity of the multivariate models proposed. While both models provided satisfactory results, it is observed that the fuzzy-hybrid model outperforms the crisp model in both accuracy and generality. This study highlights that the proposed … |
| Anahtar Kelimeler |
| surface tension | nanocomposites | mathematical modeling | fuzzy regression |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| WoS | 5 |
| SCOPUS | 5 |
| Google Scholar | 6 |