A fuzzy deductive object-oriented database model

Date

1998-05-09

Author

Bostan, B
Yazıcı, Adnan

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Object-oriented and deductive database models are two different paradigms in database modeling. As has been pointed out by many researchers, [1], [6], [14], each of these data models has its shortcomings when dealing with database/knowledge-base applications. Therefore, it is believed that combining object-oriented concepts with those of deductive database modeling results in a powerful data model especially for knowledge-intensive applications. In these applications, it is important to model and manipulate complex objects and relationships with uncertain properties. This study introduces a fuzzy deductive object-oriented database model for representation and deduction of complex and fuzzy objects. Although various types of uncertainty, such as null, incomplete and fuzzy types are considered, we mainly focus on fuzzy types. Deduction is used to cope with complex relationships and to derive new information. In addition, the implementation of this model using Poplog environment is briefly described.

Subject Keywords

Fuzzy sets and systems, Uncertainty, Knowledge-intensive applications, Deductive object-oriented database modeling

URI

https://hdl.handle.net/11511/62498

Collections

Department of Computer Engineering, Conference / Seminar