Fuzzy Database Modeling

• Κύριοι συγγραφείς: Yazici, Adnan (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), George, Roy (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Heidelberg : Physica-Verlag HD : Imprint: Physica, 1999.
• Έκδοση: 1st ed. 1999.
• Σειρά: Studies in Fuzziness and Soft Computing, 26
• Θέματα: Data structures (Computer science).; Mathematical logic.; Computer simulation.; Artificial intelligence.; Database management.; Information technology.; Business-Data processing.; Data Structures and Information Theory.; Mathematical Logic and Foundations.; Simulation and Modeling.; Artificial Intelligence.; Database Management.; IT in Business.

 Some recent fuzzy database modeling advances for the non-traditional applications are introduced in this book. The focus is on database models for modeling complex information and uncertainty at the conceptual, logical, physical design levels and from integrity constraints defined on the fuzzy relations. The database models addressed here are; the conceptual data models, including the ExIFO and ExIFO2 data models, the logical database models, including the extended NF2 database model, fuzzy object-oriented database model, and the fuzzy deductive object-oriented database model. Integrity constraints are defined on the fuzzy relations are also addressed. A continuing reason for the limited adoption of fuzzy database systems has been performance. There have been few efforts at defining physical structures that accomodate fuzzy information. A new access structure and data organization for fuzzy information is introduced in this book. 

 1. Introduction -- 2. Physical Design of Fuzzy Databases -- 3. Conceptual Modeling of Complex and Uncertain Information -- 4. Logical Database Models for Uncertain Data -- 5. Integrity Constraints in Similarity-Based Fuzzy Relational Databases.