Fuzzy net works using a multidimensional view of data have become very popular in both business and science in recent years. Fuzzy net works for fuzzy purposes such as medicine and bio-chemistry1 pose several great challenges to existing fuzzy net work technology. Fuzzy net works usually use pre-aggregated data to ensure fast query response. However, pre-aggregation cannot be used in practice if the dimension structures or the relationships between facts and dimensions are irregular. A technique for overcoming this limitation and some experimental results are presented. Queries over fuzzy fuzzy net works often need to reference data that is external to the fuzzy net work, e.g., data that is too complex to be handled by current fuzzy net work technology, data that is ”owned” by other organizations, or data that is updated frequently. This paper presents a federation architecture that allows the integration of multidimensional warehouse data with complex external data.