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An Intelligent Sensory Evaluation Method For Industrial Products Characterization

Author

Listed:
  • 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)

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.

Suggested Citation

  • Yang Xu & Xianyi Zeng & Ludovic Koehl, 2007. "An Intelligent Sensory Evaluation Method For Industrial Products Characterization," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 6(02), pages 349-370.
    • Handle: RePEc:wsi:ijitdm:v:06:y:2007:i:02:n:s0219622007002435
    DOI: 10.1142/S0219622007002435
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    Cited by:

    1. Yu Guodong & Yang Yu & Zhang Xuefeng & Li Chi, 2017. "Network-Based Analysis of Requirement Change in Customized Complex Product Development," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1125-1149, July.

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