Abstract
While the fuzzy ER/EER model presented in Part II describes the fuzziness inherent in the conceptual aspects of data, the fuzzy relational data model to be discussed in Part III will deal with the fuzziness inherent in the contents and integrity constraints of data. In this chapter (Chapter 6), how, where and to what extent fuzziness could be incorporated into the classical relational model (Codd, 1970) is described, followed by a detailed investigation on the treatments of closeness and redundancy of fuzzy data. In Chapter 7, a kind of integrity constraints that reflect the association between imprecise attribute values, namely, fuzzy functional dependency (FFD), is represented in its general and specific forms. Furthermore, the extended keys and related integrity rules are introduced. Chapter 8 addresses the issue of FFD inference and presents a FFD axiomatic system that is both sound and complete.
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Chen, G. (1998). Fuzzy Data Representation. In: Fuzzy Logic in Data Modeling. The Springer International Series on Advances in Database Systems, vol 15. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4068-7_6
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DOI: https://doi.org/10.1007/978-1-4615-4068-7_6
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