关键词: 数据挖掘, 模糊加权关联规则, Fuzzy_WedApriori算法, 流程工业

Abstract: To optimize process industry's production, the large amount of operation data were analyzed by fuzzy weighted association rules. Firstly, contents and properties of fuzzy theory and association rules were expounded. As fuzzy association rules have the properties "all subsets of a frequent item set are frequent", the procedure of the Fuzzy_WedApriori algorithm was brought forward by combining fuzzy Apriori algorithm and weighted Apriori algorithm. After the exceptional equipment's parameters were fuzzed by using different dependent functions, the Fuzzy_WedApriori algorithm was studied and implemented in a process industry to find fuzzy weighted association rules. Depending on the valuable rules, the equipments could circulate in excellent status.

Key words: data mining, fuzzy weighted association rules, Fuzzy_WedApriori algorithm , process industry