Fuzzy process modelling for secondary steelmaking

Autor:	Rajkumar Roy, J. Berdou, H. Whittaker, J. D. Madill, L. Collantes
Rok vydání:	2003
Předmět:	Decision support system Neuro-fuzzy business.industry Computer science media_common.quotation_subject Fuzzy set computer.software_genre Fuzzy logic Industrial engineering Steelmaking Expert system Production (economics) Quality (business) Data mining business computer media_common
Zdroj:	Scopus-Elsevier
DOI:	10.1109/nafips.1999.781817
Popis:	The application of artificial intelligence techniques in secondary steelmaking has been investigated by developing a prototype fuzzy process model. The fuzzy model assesses the quality of production using processing parameters as inputs and performance parameters as outputs, in order to provide an efficient decision support application. The research has developed an approach to utilise both data analysis and expert knowledge to define the membership functions and the rules. The paper also includes a brief state of the art review on the application of fuzzy logic in secondary steelmaking.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32eb93bf7ea16911d32a48cf35d12ff8 https://doi.org/10.1109/nafips.1999.781817 Zobrazit plný text záznamu