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Application of fuzzy preference modelling to the fusion of sensory profile data

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6 Author(s)
P. -A. Hebert ; Univ. de Technol. de Compiegne, France ; M. -H. Masson ; T. Denaeux ; P. Faye
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We propose a new analysis method to deal with sensory profile data. Such data are composed of scores attributed by human experts (or judges) in order to describe a set of products according to a given sensory descriptor. All assessments are repeated, usually three times. The first step consists in extracting and encoding the relevant information of each replicate into a fuzzy weak dominance relation. Then an aggregation procedure over the replicates allows synthesis of the perception of each judge into a new fuzzy relation. In a similar way, a consensual relation is finally obtained by fusing the relations of the judges. The proposed analysis tools are based on a particular objective of the fuzzy preference modelling: the decomposition of a fuzzy weak preference relation into a fuzzy preference structure. An example of application illustrates the interest of the method.

Published in:

2005 7th International Conference on Information Fusion  (Volume:1 )

Date of Conference:

25-28 July 2005