Fuzzy Database Modeling

1. Front Matter

   Pages i-xiv

   PDF

2. Introduction

   • Adnan Yazici, Roy George

   Pages 1-13

3. Physical Design of Fuzzy Databases

   • Adnan Yazici, Roy George

   Pages 15-39

4. Conceptual Modeling of Complex and Uncertain Information

   • Adnan Yazici, Roy George

   Pages 41-112

5. Logical Database Models for Uncertain Data

   • Adnan Yazici, Roy George

   Pages 113-214

6. Integrity Constraints in Similarity-Based Fuzzy Relational Databases

   • Adnan Yazici, Roy George

   Pages 215-234

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.

• data model
• data structure
• database
• database modeling
• database system
• model
• modeling
• performance
• relational database
• set theory

• Department of Computer Engineering, Middle East Technical University, Ankara, Turkey

  Adnan Yazici

• AT&T Laboratories and Department of Computer Science, Clark Atlanta University, Atlanta, USA

  Roy George

Policies and ethics