Kamalha, EdwinKoehl, LudovicCampagne, Christine2022-12-042022-12-042016KAMALHA, 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).https://www.worldscientific.com/doi/abs/10.1142/9789813146976_0158https://nru.uncst.go.ug/handle/123456789/5817In 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.enClassificationMeasurePolyester and Cotton FabricsOther