| Year | 2010 |
|---|---|
| Abstract | A common problem in food product development is to identify the consumers’ drivers of liking and to understand in what way they relate to the acceptance data. Usually, one will also be interested in identifying segments of consumers. The main objective of this study was to investigate the use of fuzzy clustering within the area of preference mapping when different consumer groups test different sets of products. A case study on low-fat cheese was used to explore and illustrate the proposed approach. Two groups of 57 and 58 consumers, respectively, participated in the consumer test. Based on sensory profiling, different cheese products evenly distributed in the sensory space were selected for each group. Each consumer rated their acceptance based on a blind tasting of six cheeses. One of the segments was identified to have a linear preference pattern, while the other two had non-linear patterns. |
| Reference | Johansen, S.M.B., Hersleth, M., Næs, T. 2010. A new approach to products set selection and segmentation in preference mapping. Food Quality and Preference, Vol 21, 1, pp 188-196. |
| Publisher | Food Quality and Preference, |
Susanne Bølling Johansen
Research Scientist
Phone: +47 64970482
Margrethe Hersleth
Senior Research Scientist, Adjunct Associate Professor, Norwegian University of Life Sciences
Phone: +47 64970159
Cellphone: +47 901 89 021
Tormod Næs
Senior Research Scientist
Phone: +47 64970165
Cellphone: +47 913 52 032
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