A comprehensive fuzzy evaluation method for leather softness based on its lastometer property / Huang Xun in JOURNAL OF THE SOCIETY OF LEATHER TECHNOLOGISTS & CHEMISTS (JSLTC), Vol. 90, N° 4 (07-08/2006)  

[article]  inJOURNAL OF THE SOCIETY OF LEATHER TECHNOLOGISTS & CHEMISTS (JSLTC) > Vol. 90, N° 4 (07-08/2006) . - p. 173-175 Titre : A comprehensive fuzzy evaluation method for leather softness based on its lastometer property Type de document : texte imprimé Auteurs : Huang Xun, Auteur ; Zhang Xiaolei, Auteur ; Yong Zhang, Auteur ; Deming Qian, Auteur Année de publication : 2006 Article en page(s) : p. 173-175 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Analyse sensorielle Cuir Cuirs et peaux -- Analyse Douceur (toucher) Evaluation Logique floue Index. décimale : 675 Technologie du cuir et de la fourrure Résumé : Leather softness is always evaluated fuzzily. In this paper the fuzzy comprehensive method is given which is based on the leather’s lastometer property under different loads. Fuzzy analysis theory is used to evaluate the softness quantitatively, scientifically and objectively. Note de contenu : - FUZZY COMPREHENSIVE EVALUATION METHOD : 1) Define comment set V=[v1, v2, ...., vn] - 2) Set up the evaluation factor set U=[u1, u2, ....,um] - 3) Define the weighting coefficients of the evaluation factors - 4) Evaluation based on single factor - 5) Comprehensive evaluation - APPLICATION EXAMPLE - Table 1 : Evaluation factors and corresponding weight coefficients in fuzzy comprehensive me - Table 2 : The corresponding grades of membership of factors H1 and H2 - Table 3 : The corresponding grades of membership of factors H3 and H - Table 4 : The corresponding grades of membership of factors H5 and H6 - Table 5 : Lastometer heights of one leather sample under the six different loads En ligne : https://drive.google.com/file/d/195VY9DRiyW800sxeGe9ONcLFJdhVna9v/view?usp=share [...] Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=39117 [article]

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Research of influences of surface structure of coloured textiles : applying fuzzy logic / Martinia Ira Glogar in COLORATION TECHNOLOGY, Vol. 127, N° 6 (2011)

[article]  inCOLORATION TECHNOLOGY > Vol. 127, N° 6 (2011) . - p. 396-403 Titre : Research of influences of surface structure of coloured textiles : applying fuzzy logic Type de document : texte imprimé Auteurs : Martinia Ira Glogar, Auteur ; Djurdjica Parac-Ostermann, Auteur ; Darko Grundler, Auteur ; Tomislav Rolich, Auteur Année de publication : 2011 Article en page(s) : p. 396-403 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Coton Le coton est une fibre végétale qui entoure les graines des cotonniers "véritables"(Gossypium sp.), un arbuste de la famille des Malvacées. Cette fibre est généralement transformée en fil qui est tissé pour fabriquer des tissus. Le coton est la plus importante des fibres naturelles produites dans le monde. Depuis le XIXe siècle, il constitue, grâce aux progrès de l'industrialisation et de l'agronomie, la première fibre textile du monde (près de la moitié de la consommation mondiale de fibres textiles). Logique floue Teinture -- Fibres textiles Index. décimale : 667.3 Teinture et impression des tissus Résumé : The fuzzy logic-based approach was applied in studying the influence of a different textile surface structure on colour appearance and similarity. The fuzzy-based approach has been chosen because fuzzy logic provides the computerising of human reasoning. For the analyses, 100% cotton samples with certain characteristics were chosen. First, the computer match prediction was performed to determine the concentrations of dyestuff to be used in the experimental work. A yellow-shaded direct dyestuff suitable for cotton dyeing was used. In the next step, the fuzzy logic system was created based on terms that would define the surface characteristics of the samples. The most important part was a proper definition of the rules and linguistic variables that use words for assigning the values of properties and that influence the experience of an observer (gloss, smoothness, roughness, etc.) and connect input space with output space. Finally, the performances of both systems were compared and analysed. In this work, the approach was based solely on the surface–structural characteristics of textile samples. The main aim was to examine the approach using the fuzzy logic-based technique in order to provide the method that would include surface parameters of textile samples that are of importance in applying colour to different structured textile surfaces. It was confirmed that the fuzzy logic reasoning would have its application in the control of the influence of the surface structure of coloured textiles, especially for lighter shades where the influence of structure parameters on the colour experience of an observer is more emphasised. Note de contenu : - Characteristics of textile samples - Computer match prediction - Fuzzy logic system construction DOI : 10.1111/j.1478-4408.2011.00336.x Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=12654 [article]

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Soft computing in textile engineering / Abhijit Majumdar / Cambridge [United Kingdom] : Woodhead Publishing Ltd (2011)

Titre : Soft computing in textile engineering Type de document : texte imprimé Auteurs : Abhijit Majumdar, Editeur scientifique Editeur : Cambridge [United Kingdom] : Woodhead Publishing Ltd Année de publication : 2011 Collection : Woodhead publishing series in textiles num. 111 Importance : XXI-538 p. Présentation : ill. Format : 24 cm Prix : 196 E Note générale : Index - Bibliogr. Langues : Américain (ame) Catégories : Algorithmes génétiques Conception technique Informatique douce Logique floue Procédés de fabrication Qualité -- Contrôle Réseaux neuronaux (informatique) Technique de la production Textiles et tissus Index. décimale : 677 Textiles Résumé : Soft computing refers to a collection of computational techniques which study, model and analyse complex phenomena. As many textile engineering problems are inherently complex in nature, soft computing techniques have often provided optimum solutions to these cases. Although soft computing has several facets, it mainly revolves around three techniques; artificial neural networks, fuzzy logic and genetic algorithms. The book is divided into five parts, covering the entire process of textile production, from fibre manufacture to garment engineering. These include soft computing techniques in yarn manufacture and modelling, fabric and garment manufacture, textile properties and applications and textile quality evaluation. Note de contenu : I. INTRODUCTION TO SOFT COMPUTING : 1. Introduction to soft computing techniques : artificial neural networks, fuzzy logic and genetic algorithms - 2. Artificial neural networks in materials modeling - 3. Fundamentals of soft models in textiles II. SOFT COMPUTING IN YARN MANUFACTURING : 4. Artificial neural network in yarn property modeling - 5. Performance evaluation and enhancement of artificial neural networks in predicting modeling - 6. Yarn engineering using an artificial neural network III. SOFT COMPUTING IN FABRIC MANUFACTURING : 8. Woven fabric engineering by mathematical modeling and soft computing methods - 9. Soft computing applications in knitting technology - 10. Modelling nonwovens using artificial neural networks IV. SOFT COMPUTING IN GARMENT AND COMPOSITE MANUFACTURING : 11. Garment modelling by fuzzy logic - 12. Soft computing applications for sewing machines - 13. Artificial neural network applications in textile composites V. SOFT COMPUTING IN TEXTILE QUALITY EVALUATION : 14. Fuzzy decision making and its applications in cotton fibre grading - 15. Silk cocoon grading by fuzzy expert systems - 16. Artificial neural modelling for prediction of thermal transmission properties of woven fabrics - 17. Modelling the fabric tearing process - 18. Textile quality evaluation by image processing and soft computing techniques Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=13434

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