| Fuzzy Models to Deal with Sensory Data in Food Industry |
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| 作者姓名： | Serge Guillaume Brigitte Charnomordic |
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| 作者单位： | Cemagref，France，INRA，France |
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| 摘 要： | IntroductionSensorydataareusedinfoodindustryforsensoryevaluationaswellasforprocesscontrol.Sensoryevaluationisusedwhenthefinalproductqualitycannotbeeasilyputinrelationtothecorrespondingmanufacturingparameters.Thisisparticularlyrelevantforfoodproducts,wherequalityfactorsperceivedbyconsumersaredifficulttorelatetochemicalorphysicalcomponentcharacteristics.Therearemanydifferentkindsofproblemsinwhichsensoryevaluationisnecessary:Newproductdevelopment,costreductionexercises,qualityimprovement,evaluat…
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Fuzzy Models to Deal with Sensory Data in Food Industry |
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| Serge Guillaume,Brigitte Charnomordic.Fuzzy Models to Deal with Sensory Data in Food Industry[J].Journal of Donghua University,2004,21(3). |
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| Authors: | Serge Guillaume Brigitte Charnomordic |
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| Abstract: | Sensory data are, due to the lack of an absolute reference, imprecise and uncertain data. Fuzzy logic can handle uncertainty and can be used in approximate reasoning. Automatic learning procedures allow to generate fuzzy reasoning rules from data including numerical and symbolic or sensory variables. We briefly present an induction method that was developed to extract qualitative knowledge from data samples. The induction process is run under interpretability constraints to ensure the fuzzy rules have a meaning for the human expert. We then study two applied problems in the food industry: sensory evaluation and process modeling. |
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| Keywords: | sensory data fuzzy logic sensory evaluation |
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