Fuzzy approach for classification of pork into quality grades: coping with unclassifiable samples

• Published in: Computers and electronics in agriculture Vol. 150; pp. 455 - 464
• Main Authors: Peres, Louise Manha, Barbon Jr, Sylvio, Fuzyi, Estefânia Mayumi, Barbon, Ana Paula A.C., Barbin, Douglas Fernandes, Maeda Saito, Priscila Tiemi, Andreo, Nayara, Bridi, Ana Maria
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.07.2018; Elsevier BV
• Subjects: Classical logic; Classification; Computational intelligence; Computational mathematics; Fuzzy Logic; Machine learning; Mathematical models; Meat; Pattern recognition; Pork; Quality; Sampling methods; Statistical analysis; Statistical methods; Pattern recognition; Classical logic; Fuzzy Logic; Computational intelligence; Classification; Meat

•Fuzzy solution is better than traditional method to classify pork into quality grades.•The fuzzy logic are able to handle infeasible samples in classification.•The fuzzy logic enables the industry to meet specific market requirements.•It was possible to detect the contribution of pH in infeasible s...