APPLICATION OF FUZZY RELATIONAL MODELING TO INDUSTRIAL-PRODUCT QUALITY-CONTROL

Industrial product quality control is a typical mathematical programmi ng and optimization problem. Unfortunately, complete and precise model s are not always available for many industrial processes. A fuzzy rela tion modelling approach is proposed to describe approximate relationsh ips among system variables and reconcile empirical equations. Symmetri c fuzzy decision-making is transformed into a non-linear function maxi mization problem. The approach is applied to optimization of a wood ch ip refining process. It is used either to improve pulp quality within the refiner operation range, or to reduce operation costs while mainta ining an acceptable pulp quality.