Handling uncertainty in rheological properties of green eggshell nanocomposites by a fuzzy-hybrid modeling approach: a comparative study
     
Yazarlar (5)
Mert Akin Insel Yıldız Teknik Üniversitesi, Türkiye
Selcan Karakuş Istanbul University-Cerrahpasa, Türkiye
Hale Gonce Kocken
Yıldız Teknik Üniversitesi, Türkiye
Inci Albayrak
Yıldız Teknik Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Physica Scripta (Q2)
Dergi ISSN 0031-8949 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 02-2023
Cilt / Sayı / Sayfa 98 / 3 / – DOI 10.1088/1402-4896/acb5d1
Makale Linki https://iopscience.iop.org/article/10.1088/1402-4896/acb5d1/pdf
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