Classification and Measure of Quantitative Difference between Polyester and Cotton Fabrics Based on Sensory Analysis
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
FLINS
Abstract
In 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.
Description
Keywords
Classification, Measure, Polyester and Cotton Fabrics
Citation
KAMALHA, 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).