1995 | OriginalPaper | Buchkapitel
Application of Fuzzy Relational Modelling to Industrial Product Quality Control
verfasst von : Y. Qian, P. J. C. Tessier, G. A. Dumont
Erschienen in: Reliability and Safety Analyses under Fuzziness
Verlag: Physica-Verlag HD
Enthalten in: Professional Book Archive
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Industrial product quality control is a typical mathematical programming and optimization problem. Unfortunately, complete and precise models are not always available for many industrial processes. A fuzzy relation modelling approach is proposed to describe approximate relationships among system variables and reconcile empirical equations. Symmetric fuzzy decision-making is transformed into a non-linear function maximization problem. The approach is applied to optimization of a wood chip refining process. It is used either to improve pulp quality within the refiner operation range, or to reduce operation costs while maintaining an acceptable pulp quality.