Integration of Dependent Features on Sensory Evaluation Processes
The aim of a sensory evaluation process is to compute the global value of each evaluated product by means of an evaluator set, according to a set of sensory features. Several sensory evaluation models have been proposed which use classical aggregation operators to summary the sensory information, assuming independent sensory features, i.e, there is not interaction among them. However, the sensory information is perceived by the set of human senses and, depending on the evaluated product, its sensory features may be dependent and present interaction among them. In this contribution, we present the integration of dependent sensory features in sensory evaluation processes. To do so, we propose the use of the fuzzy measure in conjunction with the Choquet integral to deal with this dependence, extending a sensory evaluation model proposed in the literature. This sensory evaluation model has the advantage that offers linguistic terms to handle the uncertainty and imprecision involved in evaluation sensory processes. Finally, an illustrative example of a sensory evaluation process with dependent sensory features is shown.
KeywordsSensory evaluation decision analysis sensory information linguistic information interaction dependence
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- 1.Choquet, G.: Theory of capacities, vol. 5, pp. 131–295. Annales de l’institut Fourier (1953)Google Scholar
- 2.Clemen, R.T.: Making Hard Decisions. An Introduction to Decision Analisys. Duxbury Press (1995)Google Scholar
- 3.Dijksterhuis, G.B.: Multivariate Data Analysis in Sensory and Consumer Science, Food and Nutrition. Press Inc., Trumbull (1997)Google Scholar
- 6.Estrella, F.J., Espinilla, M., Martínez, L.: Fuzzy linguistic olive oil sensory evaluation model based on unbalanced linguistic scales. Journal of Multiple-Valued Logic and Soft Computing 22, 501–520 (2014)Google Scholar
- 7.Gramajo, S., Martínez, L.: A linguistic decision support model for QoS priorities in networking. Knowledge-Based Systems 32(1), 65–75 (2012)Google Scholar
- 12.Martínez, L., Espinilla, M., Liu, J., Pérez, L.G., Sánchez, P.J.: An evaluation model with unbalanced linguistic information applied to olive oil sensory evaluation. Journal of Multiple-Valued Logic and Soft Computing 15(2-3), 229–251 (2009)Google Scholar
- 15.Ruan, D., Zeng, X. (eds.): Intelligent Sensory Evaluation: Methodologies and Applications. Springer (2004)Google Scholar
- 16.Stone, H., Sidel, J.L.: Sensory Evaluation Practice. Academic Press Inc., San Diego (1993)Google Scholar
- 17.Torra, V., Narukawa, Y.: Modeling decisions: Information fusion and aggregation operators. Cognitive Technologies 13 (2007)Google Scholar
- 18.Wang, Z., Klir, G.: Fuzzy measure theory. Plenum Press, New York (1992)Google Scholar
- 21.Zadeh, L.A.: The concept of a linguistic variable and its applications to approximate reasoning. Information Sciences, Part I, II, III, 8,8,9:199–249,301–357,43–80 (1975)Google Scholar