Abstract
In this paper, we introduce a multi-criteria and multi-expert decision-making procedure for dealing with sensory analysis. Experts evaluate each product, taking different criteria into account. If they are confident in their opinions, the evaluation is presented using specific linguistic terms. If not, linguistic expressions generated from several consecutive linguistic terms are used. Products are ranked according to the average distance between the obtained ratings and the highest possible assessment. The procedure is applied to a field experiment in which six trained sensory panelists assessed a variety of wines and wild mushrooms.
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References
Agell, N., Sánchez, G., Sánchez, M., Ruiz, F.J.: Selecting the best taste: a group decision-making application to chocolates design. In: Proceedings of the 2013 IFSA-NAFIPS Joint Congress, Edmonton, pp. 939–943 (2013)
Davidson, V.J., Sun, W.: A linguistic method for sensory assessment. Journal of Sensory Studies 13, 315–330 (1998)
Falcó, E.: Voting Systems with Linguistic Assessments and their Application to the Allocation of Tenders. PhD Dissertation, University of Valladolid (2013)
Falcó, E., García-Lapresta, J.L., Roselló, L.: Aggregating imprecise linguistic expressions. In: Guo, P., Pedrycz, W. (eds.) Human-Centric Decision-Making Models for Social Sciences. SCI, vol. 502, pp. 97–113. Springer, Heidelberg (2014)
Falcó, E., García-Lapresta, J.L., Roselló, L.: Allowing agents to be imprecise: A proposal using multiple linguistic terms. Information Sciences 258, 249–265 (2014)
ISO 5492 (1992)
Lawless, H.T., Heymann, H.: Sensory Evaluation of Food: Principles and Practices. Springer (2010)
Lim, J., Wood, A., Green, B.G.: Derivation and evaluation of a labeled hedonic scale. Chemical Sense 34(9), 739–751 (2009)
Martínez, L.: Sensory evaluation based on linguistic decision analysis. International Journal of Approximate Reasoning 44, 148–164 (2007)
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, 229–251 (2009)
Meilgaard, M.C., Carr, T., Civille, G.V.: Sensory Evaluation Techniques, 4th edn. CRC Press (2006)
Roselló, L., Prats, F., Agell, N., Sánchez, M.: Measuring consensus in group decisions by means of qualitative reasoning. International Journal of Approximate Reasoning 51, 441–452 (2010)
Roselló, L., Prats, F., Agell, N., Sánchez, M.: A qualitative reasoning approach to measure consensus. In: Herrera-Viedma, E., García-Lapresta, J.L., Kacprzyk, J., Fedrizzi, M., Nurmi, H., Zadrożny, S. (eds.) Consensual Processes. STUDFUZZ, vol. 267, pp. 235–261. Springer, Heidelberg (2011)
Roselló, L., Sánchez, M., Agell, N., Prats, F., Mazaira, F.A.: Using consensus and distances between generalized multi-attribute linguistic assessments for group decision-making. Information Fusion 17, 83–92 (2014)
Stone, H., Sidel, J.L.: Sensory Evaluation Practices. Academic Press (2004)
Travé-Massuyès, L., Piera, N.: The orders of magnitude models as qualitative algebras. In: Proceedings of the 11th International Joint Conference on Artificial Intelligence, Detroit, pp. 1261–1266 (1989)
Yager, R.R.: Ordered weighted averaging operators in multicriteria decision making. IEEE Transactions on Systems, Man and Cybernetics 8, 183–190 (1988)
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García-Lapresta, J.L., Aldavero, C., de Castro, S. (2014). A Linguistic Approach to Multi-criteria and Multi-expert Sensory Analysis. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-08855-6_59
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DOI: https://doi.org/10.1007/978-3-319-08855-6_59
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08854-9
Online ISBN: 978-3-319-08855-6
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