Dynamic Fuzzy Multivalued Dependencies

碩士 === 元智大學 === 資訊管理研究所 === 92 === ABSTRACT Functional dependency (FD) and multivalued dependencies (MVD) play an important role in the classical relational database. Since it is not only a way to eliminate the redundancy in the database but also make data consistent. In this thesis, we w...

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Bibliographic Details
Main Authors: Yi-Fang Chu, 朱逸芳
Other Authors: Chin-Tzong Pang
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/02858743984904585550
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Summary:碩士 === 元智大學 === 資訊管理研究所 === 92 === ABSTRACT Functional dependency (FD) and multivalued dependencies (MVD) play an important role in the classical relational database. Since it is not only a way to eliminate the redundancy in the database but also make data consistent. In this thesis, we will combine several scholars’ ideas to present a new form of multivalued dependencies and try to prove they are consistent with inference rule of classical database. S. Ben Yahia, H.Ounalli and A.Jaoua proposed the idea of dynamic fuzzy functional dependency (DFFD) using the fuzzy logic of Lukasiewicz and Yager’s S-norms as the basis in 1998. Likewise, we expand the idea of dynamic fuzzy functional dependency by combining the fuzzy multivalued dependencies proposed by S.jyothi and M.syam Babu in 1996 with fuzzy logic to present the new form of multivalued dependencies called “dynamic fuzzy multivalued dependencies (DFMVD)” and prove the related inference rules are soundness.