Joint treatment of imprecision and variability in food engineering: Application to cheese mass loss during ripening

Journal of Food Engineering

Volumn 93, Issue 3, 2009, Pages 284-292

  Baudrit, C ^a   Helias A ^b   Perrot, N ^a  

^a AGROPARISTECH   (France)

^b LABORATOIRE DE BIOTECHNOLOGIE DE L ENVIRONNEMENT   (France)

Author keywords

Cheese ripening; Food processing; Fuzzy sets; Imprecise probabilities; Monte Carlo simulation

Indexed keywords

ASTROPHYSICS; FOOD PROCESSING; FUZZY SETS; IMAGE SEGMENTATION; MONTE CARLO METHODS; TECHNOLOGY TRANSFER;

BELIEF AND PLAUSIBILITIES; BELIEF FUNCTIONS; CHEESE RIPENING; COMPLEX SYSTEMS; DECISION-MAKING PROCESS; DEMPSTER - SHAFER; FINANCIAL CONSTRAINTS; FOOD ENGINEERINGS; FOOD PROCESS; FOOD PROPERTIES; IMPRECISE PROBABILITIES; INCOMPLETE KNOWLEDGE; INPUT VARIABLES; INTERVAL ANALYSIS; JOINT PROPAGATION; LOWER AND UPPER PROBABILITIES; MASS LOSS; MODEL INPUTS; MONTE-CARLO SIMULATION; POSSIBILITY DISTRIBUTIONS; RIPENING PROCESS; STRUCTURAL CHANGES; SUFFICIENT STATISTICS;

PROBABILITY DISTRIBUTIONS;

EID: 63349099369     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2009.01.031     Document Type: Article

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