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A Model of Selecting Expert in Sensory Evaluation

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Knowledge Engineering and Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 214))

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Abstract

Sensory evaluation is a subjective method that is mainly dependent on expert knowledge and experience. This method is widely used in industrial products, consumer preference measurement, and management decision and so on. It is an important premise in sensory evaluation of selecting appropriate experts to participate in the test. On discussing the basic assumption and selection criteria, the ideal process of selecting expert in sensory evaluation is put forward in this paper. The method of fuzzy comprehensive evaluation is used in establishing an algorithm of selecting expert in sensory evaluation, and the application of this algorithm is explained by one example.

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References

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Acknowledgments

We gratefully acknowledge the support of State Bureau of foreign expert’s affairs project of China (grant No. 2012-12), the support by grant 2010GXS5D253 of National Soft Science of China, and thte support by grant 2012XWD-S1202 of Southwest University for Nationalities.

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Authors and Affiliations

  1. College of Management, Southwest University for Nationalities, Chengdu, People’s Republic of China

    Xiaohong Liu

  2. The ENSAIT Textile Institute, 9 rue de l’Ermitage, F-59100, Roubaix, France

    Xianyi Zeng

Authors
  1. Xiaohong Liu
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  2. Xianyi Zeng
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Corresponding author

Correspondence to Xiaohong Liu .

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Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, China, People's Republic

    Fuchun Sun

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China, People's Republic

    Tianrui Li

  3. Department of Computer Science and Techn, Tsinghua University, Beijing, China, People's Republic

    Hongbo Li

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© 2014 Springer-Verlag Berlin Heidelberg

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Liu, X., Zeng, X. (2014). A Model of Selecting Expert in Sensory Evaluation. In: Sun, F., Li, T., Li, H. (eds) Knowledge Engineering and Management. Advances in Intelligent Systems and Computing, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37832-4_14

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  • DOI: https://doi.org/10.1007/978-3-642-37832-4_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37831-7

  • Online ISBN: 978-3-642-37832-4

  • eBook Packages: EngineeringEngineering (R0)

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