AN INTELLIGENT SENSORY EVALUATION METHOD FOR INDUSTRIAL PRODUCTS CHARACTERIZATION

Yang Xu (), Xianyi Zeng () and Ludovic Koehl
Additional contact information
Yang Xu: Department of Mathematics, Southwest Jiaotong University, Chengdu 610031, Sichuan, P. R. China
Xianyi Zeng: Laboratoire GEMTEX, ENSAIT, 9, rue de l'Ermitage, 59070 Roubaix, France
Ludovic Koehl: Laboratoire GEMTEX, ENSAIT, 9, rue de l'Ermitage, 59070 Roubaix, France

International Journal of Information Technology & Decision Making (IJITDM), 2007, vol. 06, issue 02, 349-370

Abstract: This paper presents a new method for sensory evaluation of industrial products with uncertain information. In this approach, sensory data provided by different evaluators are transformed into measures of consistency on fuzzy satisfaction degrees. Based on these measures of consistency, we obtain the aggregated information for all evaluators and all attributes and measure the dissimilarity between evaluators and between used evaluation attributes. The effectiveness of this method has been validated in the fabric hand evaluation for a number of samples of knitted cotton.

Keywords: Sensory evaluation; fuzzy satisfaction degrees; measures of consistency; data aggregation; dissimilarity; fabric hand (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0219622007002435

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