Title :
Fuzzy process modelling for secondary steelmaking
Author :
Roy, Rajkumar ; Collantes, L. ; Berdou, J. ; Whittaker, Harvey ; Madill, John
Author_Institution :
Dept. of Enterprise Integration, Cranfield Univ., Milton Keynes, UK
Abstract :
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
Keywords :
decision support systems; expert systems; fuzzy logic; fuzzy set theory; steel industry; steel manufacture; artificial intelligence techniques; data analysis; decision support application; expert knowledge; fuzzy logic; fuzzy process modelling; membership functions; performance parameters; processing parameters; production quality; prototype fuzzy process model; secondary steelmaking; Aluminum; Casting; Hydrogen; Iron alloys; Oxidation; Oxygen; Prototypes; Slag; Steel; Temperature control;
Conference_Titel :
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Conference_Location :
New York, NY
Print_ISBN :
0-7803-5211-4
DOI :
10.1109/NAFIPS.1999.781817
