Data Science Journal, Volume 8, 20 May 2009 FUZZY-RULE-BASED trespass FOR MODELING SENSORY ACCEPTABITITY OF FOOD PRODUCTS Olusegun Folorunso 1*, Yinka Ajayi 1, and Taofik Shittu 2 *1 section of Computer Science, University of Agriculture, Abeokuta, Nigeria electronic mail: folorunsolusegun@yahoo.com, staofeek0904@yahoo.com 2 Department of Food Science & Technology, University of Agriculture, Abeokuta, Nigeria * ABSTRACT The prediction of produce acceptability is often an additive effect of individual fuzzy impressions existent by a consumer on certain underlying attributes diagnostic of the product. In this paper, we present the development of a selective information-driven fuzzy-rule-based approach for predicting the overall centripetal acceptability of victuals products, in this case multiform gari starch-wheat bread. The put was formulated using the Takagi-Sugeno and Kang (TSK) fuzzy pattern approach. Experiments with the model derived from sa mpled data were sham on Windows 2000XP running on Intel 2Gh environment. The fuzzy membership campaign for the sensory scores is implement in MATLAB 6.0 using the fuzzy logic peckerkit, and weights of each lingual attribute were obtained using a Correlation Coefficient formula. The results obtained argon compared to those of tender judgments.
Overall assessments suggest that, if implemented, this approach will facilitate a better acceptability of composite bread. Keywords: Fuzzy-Rule, sensory(prenominal) analysis, Composite cassava wheat (CCW) bread, Food product 1 INTRODUCTION Sensory analysis i s often employ as an important tool in eval! uating how processing and product formulation affect the acceptability or preference of food products. Judgment about a product is often do by a assembly of assessors either trained or violent based on predetermined quality attributes pertinent to such product. The sensory data obtained through subjective evaluation is unremarkably analyzed statistically. development this method, a complex idea of...If you regard to get a full essay, order it on our website: BestEssayCheap.com
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