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Experimental Analysis of Sensory Measurement Imperfection Impact for a Cheese Ripening Fuzzy Model

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Fuzzy Sets and Systems — IFSA 2003 (IFSA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2715))

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Abstract

In the food processes, build tools taking human measurements into account is relevant for the control of the sensory quality of food products. Despite the methodology used to formalize these measurements, these ones are subjected to more imperfections (imprecision, reliability,...). Our aim is to develop tools taking these measurements into account and smoothing the imperfections of these measurements. In this paper, an experimental analysis is led on a fuzzy symbolic model applied to cheese ripening process. This analysis allows to determine the sensory measurements which have the highest impact on the model and to observe the impact of sensory measurements imperfection on the output of the developed fuzzy model.

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References

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Author information

Authors and Affiliations

  1. UMR Génie Industriel Alimentaire, Equipe REQUALA CEMAGREF, 24 Avenue des Landais, BP 50085, 63172, Aubière cedex

    Irina Ioannou & Nathalie Perrot

  2. LISTIC - Université de Savoie, BP 806, 74 016, Annecy cedex, France

    Gilles Mauris

  3. UMR Génie Industriel Alimentaire, ENSIA, France

    Gilles Trystram

Authors
  1. Irina Ioannou
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  2. Nathalie Perrot
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  3. Gilles Mauris
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  4. Gilles Trystram
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Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Boğaziçi University, 34342, Bebek, Istanbul, Turkey

    Taner Bilgiç

  2. Dept. of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure links 653, 9000, Gent, Belgium

    Bernard De Baets

  3. Department of Electrical and Electronics Engineering, Boğaziçi University, 34342, Bebek, Istanbul, Turkey

    Okyay Kaynak

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© 2003 Springer-Verlag Berlin Heidelberg

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Ioannou, I., Perrot, N., Mauris, G., Trystram, G. (2003). Experimental Analysis of Sensory Measurement Imperfection Impact for a Cheese Ripening Fuzzy Model. In: Bilgiç, T., De Baets, B., Kaynak, O. (eds) Fuzzy Sets and Systems — IFSA 2003. IFSA 2003. Lecture Notes in Computer Science, vol 2715. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44967-1_71

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  • DOI: https://doi.org/10.1007/3-540-44967-1_71

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40383-8

  • Online ISBN: 978-3-540-44967-6

  • eBook Packages: Springer Book Archive

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