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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

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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.

Metadaten
Titel
Application of Fuzzy Relational Modelling to Industrial Product Quality Control
verfasst von
Y. Qian
P. J. C. Tessier
G. A. Dumont
Copyright-Jahr
1995
Verlag
Physica-Verlag HD
DOI
https://doi.org/10.1007/978-3-7908-1898-7_14

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