Handling uncertainty in rheological properties of green eggshell nanocomposites by a fuzzy-hybrid modeling approach: a comparative study

Abstract 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 applica...

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Bibliographic Details
Published in:Physica scripta 2023-03, Vol.98 (3), p.35001
Main Authors: Insel, Mert Akin, Karakuş, Selcan, Temelcan, Gizem, Kocken, Hale Gonce, Albayrak, Inci
Format: Article
Language:English
Subjects:
fuzzy regression
mathematical modeling
nanocomposites
surface tension
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Summary:Abstract 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 models have an impressive potential to be used for modeling experimental studies in nanotechnological manufacturing applications.
ISSN:0031-8949
1402-4896
DOI:10.1088/1402-4896/acb5d1