Mining association rules is one important tasks in the process of data mining application in general , the input as used in the process of generating rules is taken form a certain data table by which all the corresponding values of every domain data have correlating one to each others as given in the data table. A problem arises when we need to generate the rules expressing the relationship between two or more domains that belong to several differnt tables in a normalized database. to overcome the participant tables into a general table by a process called denormanlization. the paper shows a process of mining multidimensional fuzzy association rules from a normalized database. the process consists of two sub-process, namely sub-process of join tables (denormalization) and sub-process of mining fuzzy rules. some parts of mining the fuzzy association rules as dicussed in our previous papers [3,4,5,6,7] are exdtended to generate hyprid-multidimensional fuzzy assocation rules.