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	Provedor de dados 111 (1) 70 (1) Autor Carvalho,Victor C. de (1) Conceição,Antonio H. Q. (1) Dharmawati, Melinda Sugiana (1) Guritno, Adi Djoko (1) Kristanti, Novita Erma (1) Mollo Neto,Mario (1) Nääs,Irenilza de A. (1) Putro, Nur Achmad Sulistyo (1) Ushada, Mirwan (1) Mais... Palavra-chave Fuzzy inference (2) Decision-making support (1) Expert system (1) Organoleptic testing (1) Quality evaluation (1) SNI (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2021 (1) 2014 (1) País Brazil (1) China (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Development of Quality Evaluation Model for Supply Chain of Capture Fisheries in Southern Coast of Java 111 Guritno, Adi Djoko; Ushada, Mirwan; Kristanti, Novita Erma; Dharmawati, Melinda Sugiana; Putro, Nur Achmad Sulistyo. This research highlighted the development of quality evaluation model for supply chain of capture fisheries in southern coast of java. The model was developed using organoleptic testing and fuzzy inference model. The characteristic of perishable capture fisheries required appropriate handling in packaging during supply chain. Improper storage methods might result on varied packaging temperature and quality degradation of fish texture on each tiers of supply chain. There was a highly needs for a method for quality control for supply chain of capture fisheries. The research objectives were: 1) to identify the quality degradation in each tiers of supply chain using organoleptic testing and packaging temperature; 2) to develop a quality evaluation model of... Tipo: Info:eu-repo/semantics/article Palavras-chave: Fuzzy inference; Quality evaluation; SNI; Organoleptic testing. Ano: 2021 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/6333 Preventive diagnosis of dairy cow lameness 70 Mollo Neto,Mario; Nääs,Irenilza de A.; Carvalho,Victor C. de; Conceição,Antonio H. Q.. This research aimed to develop a Fuzzy inference based on expert system to help preventing lameness in dairy cattle. Hoof length, nutritional parameters and floor material properties (roughness) were used to build the Fuzzy inference system. The expert system architecture was defined using Unified Modelling Language (UML). Data were collected in a commercial dairy herd using two different subgroups (H1 and H2), in order to validate the Fuzzy inference functions. The numbers of True Positive (TP), False Positive (FP), True Negative (TN), and False Negative (FN) responses were used to build the classifier system up, after an established gold standard comparison. A Lesion Incidence Possibility (LIP) developed function indicates the chances of a cow becoming... Tipo: Info:eu-repo/semantics/article Palavras-chave: Decision-making support; Expert system; Fuzzy inference. Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000300020 Registros recuperados: 2 Primeira ... 1 ... Última

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