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Sensory Evaluation of the Selected Coffee Products Using Fuzzy Approach
Authors: M.A. Lazim, M. Suriani
Abstract:
Knowing consumers' preferences and perceptions of the sensory evaluation of drink products are very significant to manufacturers and retailers alike. With no appropriate sensory analysis, there is a high risk of market disappointment. This paper aims to rank the selected coffee products and also to determine the best of quality attribute through sensory evaluation using fuzzy decision making model. Three products of coffee drinks were used for sensory evaluation. Data were collected from thirty judges at a hypermarket in Kuala Terengganu, Malaysia. The judges were asked to specify their sensory evaluation in linguistic terms of the quality attributes of colour, smell, taste and mouth feel for each product and also the weight of each quality attribute. Five fuzzy linguistic terms represent the quality attributes were introduced prior analysing. The judgment membership function and the weights were compared to rank the products and also to determine the best quality attribute. The product of Indoc was judged as the first in ranking and 'taste' as the best quality attribute. These implicate the importance of sensory evaluation in identifying consumers- preferences and also the competency of fuzzy approach in decision making.Keywords: fuzzy decision making, fuzzy linguistic, membership function, sensory evaluation,
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1056184
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[1] Q. Zhang, and J.B Litchfield,.. Applying fuzzy mathematics to product development and comparison. Food Technology, Vol 45 no. 7, pp. 108- 11, 1991.
[2] S. Uprit, and H.N Mishra,. Fuzzy multi attribute decision making approach and comparison of soya fortified paneer. Journal of Sensory studies, Vol 17 no. 2), pp. 163-176, 2002
[3] S.Arazi, and D.Kilcast,. Leatherhead of Food RA. Food Processing Journal, pp.21-22.,2001
[4] G.C Meilgaard,. Civille and B.T. Carr.. Sensory evaluation techniques, Florida: CRC Press,, 1987.
[5] H. Stone, and J.L. Sidel. Sensory evaluation practice, San Diego: Academic Press, 1985,
[6] W, Lincklaen. S.D Westenberg,. D.A Jong,. J.F.A Meel,. E. Quadt, Backer and R.P.W. Duin. Fuzzy set theory applied to product classification by a sensory panel, Journal of Sensory Studies Vol 4,no 1, pp. 55-72.,1989. .
[7] H.J.Zimmermann, Fuzzy set theory and its applications, Kluwer : Academic Publishers, 1991.
[8] K.P Rao,.. Process technology for production of mango milk based fruit bar. M.S. Thesis. Indian Institute of Technology, p. 100, Kharagpur, India, 2001.
[9] S Jaya, and H.Das, Sensory evaluation of mango drinks using fuzzy logic. Journal of Sensory Studies, Vol 18, pp. 163-176, 2003.
[10] S.J Lee,. and Y.A. Kwon,. Study on fuzzy reasoning application for sensory evaluation of sausages, Journals of Food Technology.
[online] . Available at: http: //dx.doi:10.1016/j.foodcont.2006.04.004
[11] L.A. Zadeh. Fuzzy Sets. Information and Control Vol 8 no 3 pp. 338- 353. 1965
[12] R.E Bellman,.and L.A. .Zadeh,. Decision making in a fuzzy environment. Management Science. Vol 17 no 4, pp. 141-164.,1970.