A Linguistic Approach to Multi-criteria and Multi-expert Sensory Analysis

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.

[1]  H. Heymann,et al.  Principles of Good Practice , 1999 .

[2]  Núria Agell,et al.  Selecting the best taste: A group decision-making application to chocolates design , 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

[3]  José Luis García-Lapresta,et al.  Aggregating Imprecise Linguistic Expressions , 2014, Human-Centric Decision-Making Models for Social Sciences.

[4]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[5]  Morten Meilgaard,et al.  Sensory Evaluation Techniques , 2020 .

[6]  Juyun Lim,et al.  Derivation and evaluation of a labeled hedonic scale. , 2009, Chemical senses.

[7]  Núria Agell,et al.  A Qualitative Reasoning Approach to Measure Consensus , 2011, Consensual Processes.

[8]  Enrique Herrera-Viedma,et al.  Consensual Processes , 2011, Studies in Fuzziness and Soft Computing.

[9]  José Luis García-Lapresta,et al.  Allowing agents to be imprecise: A proposal using multiple linguistic terms , 2014, Inf. Sci..

[10]  V. Davidson,et al.  A LINGUISTIC METHOD FOR SENSORY ASSESSMENT , 1998 .

[11]  Patricia Stefanowicz,et al.  Sensory evaluation of food principles and practices , 2013 .

[12]  Núria Agell,et al.  Using consensus and distances between generalized multi-attribute linguistic assessments for group decision-making , 2014, Inf. Fusion.

[13]  Wil Thissen.  Investigations into the World3 Model: Lessons for Understanding Complicated Models , 1978, IEEE Transactions on Systems, Man, and Cybernetics.

[14]  Louise Travé-Massuyès,et al.  The Orders of Magnitude Models as Qualitative Algebras , 1989, IJCAI.

[15]  Herbert Stone,et al.  Sensory Evaluation Practices , 1985 .

[16]  Núria Agell,et al.  Measuring consensus in group decisions by means of qualitative reasoning , 2010, Int. J. Approx. Reason..

[17]  Witold Pedrycz,et al.  Human-Centric Decision-Making Models for Social Sciences , 2013, Human-Centric Decision-Making Models for Social Sciences.

[18]  E. Cerio.  Sistemas de votación con valoraciones lingüísticas y su aplicación a la licitación de proyectos públicos (Voting Systems with Linguistic Assessments and their application in the Allocation of Tenders) , 2013 .

[19]  Macarena Espinilla,et al.  An Evaluation Model with Unbalanced Linguistic Information Applied to Olive Oil Sensory Evaluation , 2009, J. Multiple Valued Log. Soft Comput..

[20]  Luis Martínez,et al.  Sensory evaluation based on linguistic decision analysis , 2007 .