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 5 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 to their implementation and application in specific contexts (e.g. geographic information systems), fuzzy data mining, and fuzzy functional dependencies definition.
Besides contributing to stimulating interest in the field of fuzzy databases, the book aims to show 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.
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Overview
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 5 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 to their implementation and application in specific contexts (e.g. geographic information systems), fuzzy data mining, and fuzzy functional dependencies definition.
Besides contributing to stimulating interest in the field of fuzzy databases, the book aims to show 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.
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Table of Contents
Part I. Fuzzy Querying of Databases: P. Bosc, L. Duval, O. Pivert: Value-Based and Representation-Based Querying of Possibilistic Databases.- M. Nakata: Flexible Division Operators in Possibility-Based Fuzzy Relational Databases.- Part II: Data Mining Based on Fuzzy Sets: G. Chen, Q. Wei, E.E. Kerre: Fuzzy Data Mining: Discovery of Fuzzy Generalized Association Rules.- J. Kacprzyk, S. Zadrozny: On Combining Intelligent Querying and Data Mining Using Fuzzy Logic Concepts.- Part III: Geographic Information Systems Dealing with Uncertainty: M. Cobb, H. Foley, F. Petry, K. Shaw: Uncertainty in Distributed and Interoperable Spatial Information Systems.- V.B. Robinson: On Fuzzy Sets and the Management of Uncertainty in an Intelligent Geographic Information System.- A. Yazici, K. Akkaya: Conceptual Modelling of Geographic Information System Applications.- Part IV: Fuzzy Database Models: Definition and Implementation: G. de Tré, R. de Caluwe, B. Van der Cruyssen: A Generalised Object-Oriented Database-Model.- I. Blanco, J. C. Cubero, O. Pons, A. Vila: An Implementation for Fuzzy Deductive Relational Databases.- G. Bordogna, A. Leporati, D. Lucarella, G. Pasi: The Fuzzy Object-Oriented Database Management System.-