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In order to treat and analyze real datasets, fuzzy association rules have been proposed. Several algorithms have been introduced to extract these rules. However, these algorithms suffer from the problems of utility, redundancy and large number of extracted fuzzy association rules. The expert will then be confronted with this huge amount of fuzzy association rules. The task of validation becomes fastidious. In order to solve these problems, we propose a new validation method. Our method is baseddoi:10.6084/m9.figshare.6825569.v1 fatcat:nnkdgrc5bnafjnrrvuzjqpkram