Managing Merged Data by Vague Functional Dependencies

نویسندگان

  • An Lu
  • Wilfred Ng
چکیده

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 (SEQ) 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.

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تاریخ انتشار 2004