Classification and Measure of Quantitative Difference between Polyester and Cotton Fabrics Based on Sensory Analysis

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dc.contributor.authorKamalha, Edwin
dc.contributor.authorKoehl, Ludovic
dc.contributor.authorCampagne, Christine
dc.date.accessioned2022-12-04T12:52:26Z
dc.date.available2022-12-04T12:52:26Z
dc.date.issued2016
dc.description.abstractIn this study we compare cotton and polyester (Polyethylene terephthalate) (PET) sensory attributes, as a precursor for sensory modification of polyester, for cotton replacement. We systematically identify the key sensory attributes that distinguish cotton from polyester fabrics. Rank Aggregation, Principal Component Analysis (PCA), Agglomerative Hierarchical Clustering (AHC), and the measure of distances are used to process elicited data.en_US
dc.identifier.citationKAMALHA, E., KOEHL, L., & CAMPAGNE, C. (2016). Classification and measure of quantitative difference between polyester and cotton fabrics based on sensory analysis. In Uncertainty Modelling in Knowledge Engineering and Decision Making: Proceedings of the 12th International FLINS Conference (pp. 1022-1028).en_US
dc.identifier.urihttps://www.worldscientific.com/doi/abs/10.1142/9789813146976_0158
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/5817
dc.language.isoenen_US
dc.publisherFLINSen_US
dc.subjectClassificationen_US
dc.subjectMeasureen_US
dc.subjectPolyester and Cotton Fabricsen_US
dc.titleClassification and Measure of Quantitative Difference between Polyester and Cotton Fabrics Based on Sensory Analysisen_US
dc.typeOtheren_US
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