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This book focuses on the recent research issues regarding the application of fuzzy set theory to extend the functionalities of database management systems.
During the past five years, the research in this field has moved from a merely theoretical framework mainly addressing the definition of fuzzy extensions of the relational database model to the consideration of other, object-oriented database paradigms, also in relation with their implementation and application in specific contexts (ex. geographic information systems), fuzzy data mining, and fuzzy functional dependencies definition.
Besides contributing to stimulate the interest in the field of fuzzy databases, the book has the aim of showing that the research carried out so far has matured some fuzzy extensions of classical databases that are feasible to be implemented and applied fruitfully in real applications.




This book focuses on the recent research issues regarding the application of fuzzy set theory to extend the functionalities of database management systems.
During the past five years, the research in this field has moved from a merely theoretical framework mainly addressing the definition of fuzzy extensions of the relational database model to the consideration of other, object-oriented database paradigms, also in relation with their implementation and application in specific contexts (ex. geographic information systems), fuzzy data mining, and fuzzy functional dependencies definition.
Besides contributing to stimulate the interest in the field of fuzzy databases, the book has the aim of showing that the research carried out so far has matured some fuzzy extensions of classical databases that are feasible to be implemented and applied fruitfully in real applications.


This book focuses on the recent research issues regarding the application of fuzzy set theory to extend the functionalities of database management systems.
During the past five years, the research in this field has moved from a merely theoretical framework mainly addressing the definition of fuzzy extensions of the relational database model to the consideration of other, object-oriented database paradigms, also in relation with their implementation and application in specific contexts (ex. geographic information systems), fuzzy data mining, and fuzzy functional dependencies definition.
Besides contributing to stimulate the interest in the field of fuzzy databases, the book has the aim of showing that the research carried out so far has matured some fuzzy extensions of classical databases that are feasible to be implemented and applied fruitfully in real applications.
Content:
Front Matter....Pages I-XII
Front Matter....Pages 1-1
Value-Based and Representation-Based Querying of Possibilistic Databases....Pages 3-27
Flexible Division Operators in Possibility-based Fuzzy Relational Databases....Pages 29-42
Front Matter....Pages 43-43
Fuzzy Data Mining: Discovery of Fuzzy Generalized Association Rules+ ....Pages 45-66
On Combining Intelligent Querying and Data Mining Using Fuzzy Logic Concepts....Pages 67-81
Front Matter....Pages 83-83
Uncertainty in Distributed and Interoperable Spatial Information Systems....Pages 85-108
On Fuzzy Sets and the Management of Uncertainty in an Intelligent Geographic Information System....Pages 109-127
Conceptual Modeling of Geographic Information System Applications....Pages 129-151
Front Matter....Pages 153-153
A Generalised Object-Oriented Database Model....Pages 155-182
An Implementation for Fuzzy Deductive Relational Databases....Pages 183-207
The Fuzzy Object-Oriented Database Management System....Pages 209-236
Back Matter....Pages 237-237


This book focuses on the recent research issues regarding the application of fuzzy set theory to extend the functionalities of database management systems.
During the past five years, the research in this field has moved from a merely theoretical framework mainly addressing the definition of fuzzy extensions of the relational database model to the consideration of other, object-oriented database paradigms, also in relation with their implementation and application in specific contexts (ex. geographic information systems), fuzzy data mining, and fuzzy functional dependencies definition.
Besides contributing to stimulate the interest in the field of fuzzy databases, the book has the aim of showing that the research carried out so far has matured some fuzzy extensions of classical databases that are feasible to be implemented and applied fruitfully in real applications.
Content:
Front Matter....Pages I-XII
Front Matter....Pages 1-1
Value-Based and Representation-Based Querying of Possibilistic Databases....Pages 3-27
Flexible Division Operators in Possibility-based Fuzzy Relational Databases....Pages 29-42
Front Matter....Pages 43-43
Fuzzy Data Mining: Discovery of Fuzzy Generalized Association Rules+ ....Pages 45-66
On Combining Intelligent Querying and Data Mining Using Fuzzy Logic Concepts....Pages 67-81
Front Matter....Pages 83-83
Uncertainty in Distributed and Interoperable Spatial Information Systems....Pages 85-108
On Fuzzy Sets and the Management of Uncertainty in an Intelligent Geographic Information System....Pages 109-127
Conceptual Modeling of Geographic Information System Applications....Pages 129-151
Front Matter....Pages 153-153
A Generalised Object-Oriented Database Model....Pages 155-182
An Implementation for Fuzzy Deductive Relational Databases....Pages 183-207
The Fuzzy Object-Oriented Database Management System....Pages 209-236
Back Matter....Pages 237-237
....
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