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Soft Modeling in Industrial Manufacturing pp 127–147Cite as

Applying Statistical Methods with Imprecise Data to Quality Control in Cheese Manufacturing

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Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 183))

Abstract

Sensory analysis entails subjective valuations provided by qualified experts which in most of the cases are given by means of a real value. However personal valuations usually present an uncertainty in their meaning which is difficult to capture by using a unique value. In this work some statistical techniques to deal with such kind of information are presented. The methodology is illustrated through a case-study, where some tasters have been proposed to use trapezoidal fuzzy numbers to express their perceptions regarding the quality of the so-called Gamonedo blue cheese. In order to establish an agreement between the tasters a weighted summary measure of the information collected is described. This will lead to assign a weight to each expert depending on the influence they have when the weighted mean is computed. An example of the real-life application is also provided.

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Acknowledgements

We would like to thank the grant “Estadistica robusta y flexible para datos intervalares, de conjunto y de conjunto difuso: localización, variabilidad y regresión lineal” (MTM2013-44212-P, Spanish Ministry of Economy and Competitiveness) for its financial support.

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Authors and Affiliations

  1. Department of Statistics, Operational Research and Didactics of Mathematics, University of Oviedo, C/ Calvo Sotelo s/n, 33007, Oviedo, Spain

    Ana Belén Ramos-Guajardo, Ángela Blanco-Fernández & Gil González-Rodríguez

Authors
  1. Ana Belén Ramos-Guajardo
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  2. Ángela Blanco-Fernández
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  3. Gil González-Rodríguez
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Corresponding author

Correspondence to Ana Belén Ramos-Guajardo .

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Editors and Affiliations

  1. Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland

    Przemyslaw Grzegorzewski

  2. Faculty of Production Engineering, Institute of Manufacturing Technologies, Warsaw University of Technology, Warsaw, Poland

    Andrzej Kochanski

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Ramos-Guajardo, A.B., Blanco-Fernández, Á., González-Rodríguez, G. (2019). Applying Statistical Methods with Imprecise Data to Quality Control in Cheese Manufacturing. In: Grzegorzewski, P., Kochanski, A., Kacprzyk, J. (eds) Soft Modeling in Industrial Manufacturing. Studies in Systems, Decision and Control, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-030-03201-2_8

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