| Summary: | 碩士 === 元智大學 === 資訊管理學系 === 90 === At the present day, there are many works were doing the research and discussion on the proximity measure of fuzzy data. According to the differences between the data type and users’ requirements, the measure models also have to make the different choice as to get a correct judgment on the proximity of fuzzy data. Therefore, to select a suitable measure model is the major work in proximity measure.
In this thesis, we study the semantic fuzzy data measures with the measure model of semantic proximity on fuzzy data, and anticipate the measure model can apply the normalization of fuzzy relational databases. Before the discussion on normalization, it is essential to define the dependencies of relational schema, included the fuzzy functional dependency, fuzzy multivalued dependency and fuzzy join dependency. Furthermore, we infer these extended dependencies existed in the characteristics as to provide a check basis after normalization and to reduce the anomalies during the refreshment of the relational tables.
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