Abstract
In this paper, we propose a new similarity measure between vague sets and apply vague logic in a relational database environment with the objective of capturing the vagueness of the data. By introducing a new vague Similar Equality (S EQ ) for comparing data values, we first generalize the classical Functional Dependencies (FDs) into Vague Functional Dependencies (VFDs). We then present a set of sound and complete inference rules. Finally, we study the validation process of VFDs by examining the satisfaction degree of VFDs, and the merge-union and merge-intersection on vague relations.
This work is supported in part by grants from the Research Grant Council of Hong Kong, Grant Nos HKUST6185/02E and HKUST6165/03E.
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Lu, A., Ng, W. (2004). Managing Merged Data by Vague Functional Dependencies. In: Atzeni, P., Chu, W., Lu, H., Zhou, S., Ling, TW. (eds) Conceptual Modeling – ER 2004. ER 2004. Lecture Notes in Computer Science, vol 3288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30464-7_21
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DOI: https://doi.org/10.1007/978-3-540-30464-7_21
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