The existing definition of support was improved by adopting a new definition based on distance.Then classified fuzzy association rules mining model (CFARMM) was proposed.It takes association rule mining techniques applicable to classification tasks by introducing the concept of the target variable of decision tree.CFARMM is not only widely applicable in industrial production process and real life

but also easily realized as compared with shopping baskets association rules mining problem.Finally

CFARMM was applied to mine the real aromatic hydrocarbon extraction process.Through the data mining of historical process

the reasons that recovery rate decreased

and energy loss increased when the feed components varied were found.