Predicting air permeability of pile loop knit fabrics using fuzzy logic with type-2 fuzzy inference system
Ładowanie...
Data
2022
Autorzy
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
Recent studies have shown that pile loop knit fabrics hold promise for being used in tissue engineering
in addition to their usual application areas (e.g., sportswear). Understanding the air permeability
property of fabrics would be of importance in terms of time and cost when designing new fabrics. This
study develops a Fuzzy Logic (FL) model with type-2 fuzzy inference system for predicting the air
permeability of pile loop knit fabrics. For this purpose, pile loop knit structures with different areal
densities were produced by using textured polyethylene terephthalate (PET) yarns from four different
filament fineness. FL model with type-2 sytem analysis was performed. The root mean square error
(RMSE) of the developed model was compared with those of the Multiple linear regression (MLR), FL
model with type-1 system, and Artificial Neural Network (ANN) model from the previous study. The
RMSE of the MLR, FL model with type-1, and type-2 sytems, and ANN were found to be 14.93, 12.41,
11.58, and 2.42 respectively. Thus, the FL model with type-2 system gave less RMSE in comparison to
the MLR, and FL model with type-1 system. However, the ANN model provided superior performance
over the MLR and FL models in predicting air permeability.
Opis
Słowa kluczowe
pile loop knit fabric, air permeability, fuzzy logic with type-2 fuzzy inference system, dzianina pętelkow - runo, przepuszczalność powietrza, logika rozmyta z systemem wnioskowania rozmytego typu 2
Cytowanie
Haroglu D., Predicting air permeability of pile loop knit fabrics using fuzzy logic with type-2 fuzzy inference system. W: AUTEX 2022 : 21st World Textile Conference AUTEX 2022 - AUTEX Conference Proceedings, Lodz University of Technology Press, Lodz 2022, s. 310-315, ISBN 978-83-66741-75-1, doi: 10.34658/9788366741751.65.