Measuring and multilevel fuzzy comprehensive predicting comfort parameters of soft materials by a new handle evaluation system

Sun, Yi; Shao, Yawen; Zheng, Dongfang; Liu, Gui; Pan, Xingxing; Du, Zhaoqun

doi:10.1177/0040517520928792

Cited by 5 publications

(3 citation statements)

References 39 publications

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“…Sun et al created an MLFE model including tactile comfort and handle features to assess the hand comfort of soft materials and utilised this model to assess the hand comfort of more than 30 fabrics. The outcomes demonstrated that the combination of fullness, stiffness, and roughness determines how well soft textiles work [9].…”

Section: Related Workmentioning

confidence: 99%

RETRACTED ARTICLE: A Multilevel Fuzzy Evaluation of Cross-Border E-Commerce Profitability Model

Zou

2023

Int J Comput Intell Syst

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With the continuous development of economic globalisation, China has established free trade zones (FTA). To promote the diversification of cross-border e-commerce in FTA and increase industry competitiveness, the Porter's Five Forces model (PFFM) was used to analyse the profit model of e-commerce enterprises. Based on fuzzy logic, an evaluation model for the profit model of cross-border e-commerce was constructed, and this evaluation model was used to evaluate the profitability of cross-border e-commerce. The results show that the evaluation model constructed based on fuzzy logic can better reflect the profitability of enterprises. The accuracy of multilevel fuzzy evaluation is above 80% every year, with the highest accuracy being in 2017, and the evaluation accuracy for that year is 98.5%. The study of a cross-border e-commerce profit evaluation model based on multilevel fuzzy evaluation method can better reflect the profitability of enterprises and help them clarify their future development direction.

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Section: Related Workmentioning

confidence: 99%

RETRACTED ARTICLE: A Multilevel Fuzzy Evaluation of Cross-Border E-Commerce Profitability Model

Zou

2023

Int J Comput Intell Syst

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“…22,23 The constant weight method has been widely used in the FCE method to determine the weight of each factor. [24][25][26] However, as confirmed in previous studies, the weights of the sensory factors vary based on the different conditions. A few studies have also indicated that in the case in which the value of a specific factor is extremely large, it may play a decisive role in the comprehensive evaluation.…”

mentioning

confidence: 68%

Prediction of clothing comfort sensation with different activities based on fuzzy comprehensive evaluation of variable weight

Jiang

Wang

2022

Textile Research Journal

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There is no universal model for evaluating the clothing comfort sensation under various conditions due to the different effects of the sensory factors for different activities or environments. The current study aimed to develop a prediction method of the clothing comfort sensation for different activities. Two models were built using fuzzy comprehensive evaluation based on the constant weight (FCE-CW) and variable weight (FCE-VW). Firstly, four sensory factors (wetness, stickiness, hotness, roughness) were selected as input data. Subsequently, grey relation analysis was introduced to obtain the constant weight during the complete experimental process and variable weight for different activities. Finally, the FCE-CW and FCE-VW models were built. A psychological wearing evaluation experiment with different activities was conducted to examine the validity of the model. The results showed that the determination coefficient ( R2) of the FCE-VW model was above 85%, which was superior to that of the FCE-CW model, especially in the running and recovery phases. The high accuracy of the FCE-VW model indicated that grey relation analysis was a practical algorithm for determining the weight of sensory factors. The roughness and hotness sensations demonstrated higher weights during the resting and walking phases, respectively, whereas the wetness and stickiness sensations had a high weight during the running and recovery phases. Moreover, the associations between the physiological parameters and weights of the sensory factors were also explored. In the future, a more comprehensive model based on physiological and psychological parameters can be developed using this method.

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“…Therefore, this paper proposed an experimental test method, the Quick-Intelligent Handle Evaluation System (QIHES), 46,47 and a FE modeling method (geometry, mesh and boundary conditions) composed of the yarn-based fabrics and the finger-based structure of the QIHES to deeply analyze the compression behavior. Meanwhile, the fabric model, based on the cross-sectional size and buckling shape of the yarn characterized by scanning electron microscopy (SEM), and the experimental instrument model involving key component characteristics and performance parameters were built.…”

mentioning

confidence: 99%

Finite element modeling and experimental testing of woven fabric based on a new instrument: simulative analysis of the compression property

Sun

Liu

et al. 2021

Textile Research Journal

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A multi-scale finite element (FE) model including a macro-scale instrument and fabric composed of meso-scale yarns is established so as to deeply understand the compression mechanism of woven fabrics based on the Quick-Intelligent Handle Evaluation System. The compression stress and strain of the fabric and its internal warp and weft yarns are revealed in the FE analysis, and a parameter study involving the friction coefficient, Young’s modulus, yarn spacing and crimp height is addressed to understand the fabric deformation. The results show that fabric parameters have a significant impact on the compression behavior, indicating that the compression performance of the fabric is limited by the nonlinear mechanical and geometric properties of the yarn. Moreover, by comparing the FE modeling and experimental testing, the FE model proved to be sufficient to simulate the compression response of the fabric, so as to predict the compression property based on actual or preset material properties.

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Measuring and multilevel fuzzy comprehensive predicting comfort parameters of soft materials by a new handle evaluation system

Cited by 5 publications

References 39 publications

RETRACTED ARTICLE: A Multilevel Fuzzy Evaluation of Cross-Border E-Commerce Profitability Model

RETRACTED ARTICLE: A Multilevel Fuzzy Evaluation of Cross-Border E-Commerce Profitability Model

Prediction of clothing comfort sensation with different activities based on fuzzy comprehensive evaluation of variable weight

Finite element modeling and experimental testing of woven fabric based on a new instrument: simulative analysis of the compression property

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