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- W86511087 abstract "This chapter introduces a rough set model of uncertainty for object-oriented databases (OODB). This model is defined, consistent with the notation of both, rough set theory and object oriented database formalisms. Rough set theory is a technique for dealing with uncertainty and for identifying cause–effect relationships in databases as a form of database learning. Uncertainty and vagueness that are inherent in all real world applications are incorporated into the database model through the indiscernibility relation and approximation regions of rough sets. Because spatial database and geographic information systems (GIS) have particular needs for uncertainty management in spatial data, examples from this type of application are used to illustrate the benefits of this rough OODB approach. A database semantic model aims to capture the meaning of some enterprise in the real world, and is a high level, conceptual model that must be implemented. It is well established that rough set techniques as part of an underlying relational database model effectively manages uncertainty in relational databases. Additionally, the rough querying of crisp data allows rough set uncertainty to be applied to existing ordinary relational databases.. The chapter concludes that the rough set concepts of indiscernibility and approximation regions can be integrated into a rough object-oriented framework, resulting in a model that allows for the management of uncertainty. A geographic information system example illustrated the usefulness of this rough object oriented database model." @default.
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- W86511087 date "2003-01-01" @default.
- W86511087 modified "2023-10-18" @default.
- W86511087 title "Rough Set Uncertainty in an Object Oriented Data Model" @default.
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- W86511087 doi "https://doi.org/10.1016/b978-044451379-3/50002-9" @default.
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