A general methodology for analyzing fashion oriented textile products using sensory evaluation |
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| Authors: | Y Zhu X Zeng L Koehl T Lageat A Charbonneau C Chaigneau |
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| Affiliation: | 1. University of Lille Nord de France, 59000 Lille, France;2. ENSAIT 2 allée Louise et Victor Champier, BP30329, F-59056 Roubaix Cedex 1, France;3. EUROSYN 16 avenue du Québec, 91140 Villebon sur Yvette, France;4. Despature et Fils SAS, 69, rue Edouard Vaillant, 59100 Roubaix, France;1. GEMTEX, ENSAIT, 2 allée Louise et Victor Champier, BP30329, F-59056 Roubaix Cedex 1, France;2. Department of Clothing Design and Engineering, College of Textile and Clothing Engineering, Soochow University, Suzhou, Jiangsu Province 215021, PR China;1. School of Plant Protection, Yangzhou University, Yangzhou 220059, PR China;2. Institute of Plant Protection, Jiangsu Agricultural Academy of Science, Nanjing, Jiangsu, PR China;1. Laboratoire de Tribologie et Dynamique des Systèmes, UMR-CNRS 5513, Ecole Centrale de Lyon, 36 avenue Guy de Collongue, Ecully, France;2. Université de Lyon, Faculté de Pharmacie-ISPB, laboratoire de biophysique, Lyon, France;3. Université Claude Bernard Lyon 1, INSERM, CNRS, Lyon Neuroscience Research Center, Lyon, France;4. Hospices Civils de Lyon, France;1. Tianjin Key Laboratory of Refrigeration Technology, Tianjin University of Commerce, Tianjin 300134, China;2. Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, Ministry of Education, Tianjin 300072, China;3. Department of Architecture and Built Environment, University of Nottingham, Ningbo 315100, China;1. Textile Engineering Department, Amirkabir University of Technology, 424 Hafez Ave, Tehran 15875-4413, Iran;2. School of Electrical and Computer Engineering, University of Tehran, N Kargar St, Tehran 143957131, Iran |
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| Abstract: | In a garment company, key features on garment products can generally be characterized using three information sources: (1) physical measures using appropriate devices, (2) normalized sensory evaluation data, (3) consumers’ perception on fashion styles of garments. The understanding of the relations between criteria at these three levels is important for designing new fashion oriented textile products. In this paper, we propose a method for evaluating fabric hand and similarity between fashion styles and fabric samples. Next, the relationship between these two sets of sensory data is analyzed using the data clustering algorithm and a number of linguistic similarity and relevancy measures we defined. The effectiveness of the proposed method has been validated using a set of fabric samples and a set of T-shirt products. |
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