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In this paper the effect and usefulness of some filters associated to Fuzzy Mathematical Morphology operators, erosion, dilation, opening, closing, Top-Hat and Hit-or-Miss are analyzed. We propose the interpretation of those operators in processes of Database Knowledge Discovery. Using database information and binary crisp relations as structuring elements, some of these filters are implemented. Also, and using the morphological filters, it is verified that it is possible to analyze information constructed in table of records, interpreted as fuzzy subsets, obtaining not evident useful information. Finally, some properties of the defined operators are analyzed, illustrating the results with an example.

Descubrimiento de Conocimiento en Bases de Datos Utilizando Técnicas de Morfología Matemática Borrosa