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Summary In the context of multidimensional data, OLAP tools are appropriate for the navigation in the data, aiming at discovering pertinent and abstract knowledge. However, due to the size of the dataset, a systematic and exhaustive exploration is not feasible. Therefore, the problem is to design automatic tools to ease the navigation in the data and their visualization. In this paper, we present a novel approach allowing to build automatically blocks of similar values in a given data cube and to associate these blocks with rules. Our method is based on a level-wise algorithm (a la Apriori) and on the theory of fuzzy sets, Fuzzy sets. Information and Control, pp.338-353, 1965. ,