Handling complex and uncertain information in the ExIFO and NF2 data models

Date

1999-12-01

Author

Yazıcı, Adnan
Petry, FE

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Trends in databases leading to complex objects present opportunities for representing imprecision and uncertainty that were difficult to integrate cohesively in simpler database models. In fact, one can begin at the conceptual level with a model that allows uncertainty assumptions and then transform those assumptions into a logical model having the necessary semantic foundations upon which to base a meaningful query language. Here we provide such a constructive approach beginning with the ExIFO model for expression of the conceptual design then show how the conceptual design is transformed into the logical design (which we utilize the extended NF2 logical database model). The steps are straightforward, unambiguous, and preserve the relevant information, including information concerning uncertainty.

Subject Keywords

conceptual modeling, Data management, Data models, Fuzzy sets, Uncertainty representation

URI

https://hdl.handle.net/11511/62844

Journal

IEEE TRANSACTIONS ON FUZZY SYSTEMS

DOI

https://doi.org/10.1109/91.811232

Collections

Department of Computer Engineering, Article

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Citation Formats

A. Yazıcı and F. Petry, “Handling complex and uncertain information in the ExIFO and NF2 data models,” IEEE TRANSACTIONS ON FUZZY SYSTEMS, pp. 659–676, 1999, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/62844.