Title :
Determining a confidence index of cheese ripening prediction by fuzzy trend sensory indicators
Author :
Mauris, G. ; Perrot, N. ; Berrah, L. ; Hamlaoui, S.
Author_Institution :
Lab. d´´Informatique Systemes Traitement de l´´Information et de la Connaissance, Univ. de Savoie, Annecy, France
Abstract :
In the food process, building tools taking human measurements and knowledge into account is relevant for the control of the sensory quality of food product. In this view, we propose a fuzzy linguistic model, which predicts the ripening state of a cheese from sensory measurements achieved during the ripening process lasting one month. In order to avoid carrying out damaging actions generated by erroneous predictions, a confidence index is defined by a redundancy with information issued from a fuzzy trend model of sensory indicators.
Keywords :
dairy products; fuzzy control; inference mechanisms; sensors; building tools; cheese ripening prediction; confidence index; food process; food product quality; fuzzy linguistic; fuzzy trend sensory indicator; human measurements; sensory measurement; sensory quality control; Anthropometry; Dairy products; Food industry; Food products; Fuzzy control; Humans; Industrial control; Predictive models; Raw materials; Temperature sensors;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2003. IMTC '03. Proceedings of the 20th IEEE
Print_ISBN :
0-7803-7705-2
DOI :
10.1109/IMTC.2003.1207903