Fuzzy database modeling

Author(s)

• Yazici, Adnan
• George, Roy

Bibliographic Information

Fuzzy database modeling

Adnan Yazici and Roy George

（Studies in fuzziness and soft computing, vol. 26）

Physica-Verlag, c1999

Note

Includes bibliographical references

Description and Table of Contents

Description

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.

Table of Contents

• Introduction: Fuzzy Set Theory
• Similiarity Relations
• Handling Uncertainty in Data Models.- Physical Design of Fuzzy Databases: Introduction
• Background
• Fuzzy Indexing
• Utilizing the MLGF Data Structure for Fuzzy Databases
• Handling Fuzzy Queries
• Performance of the MLGF Access Structure
• Conclusion.- Conceptual Modeling of Complex and Uncertain Information: Introduction
• Background
• Extending the IFO Model (ExIFO) for Modeling Uncertainty
• Conceptual Modeling for the Design of Fuzzy OO Databases
• Conclusion.- Logical Database Models for Uncertain Data: Introduction
• The Extended NF2 Database Model
• The Fuzzy Object-Oriented Data Model
• Coupling Fuzzy Object-Oriented Database with Fuzzy Logic
• A Fuzzy Deductive Object-Oriented Database Model
• Conclusions and Other Research Issues.- Integrity Constraints in Similiarity-Based Fuzzy Relational Databases: Introduction
• Background
• Fuzzy Integrity Constraints
• Conclusion.

by "Nielsen BookData"

Details

• NCID: BA41459174
• ISBN:
  • 3790811718
• LCCN: 98053254
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: New York
• Pages/Volumes: xiv, 234 p.
• Size: 24 cm
• Classification:
  • LCC : QA76.9.D26
  • DC21 : 005.74
• Subject Headings:
  • LCSH : Database design
  • LCSH : Fuzzy systems
  • LCSH : Soft computing
• Parent Bibliography ID:
  • BA28659077