Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Literature Overview of Fuzzy Database Modeling

A Literature Overview of Fuzzy Database Modeling
View Sample PDF
Author(s): Z.. M. Ma (Northeastern University, China)
Copyright: 2008
Pages: 21
Source title: Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59904-951-9.ch015


View A Literature Overview of Fuzzy Database Modeling on the publisher's website for pricing and purchasing information.


Fuzzy set theory has been extensively applied to extend various data models and resulted in numerous contributions, mainly with respect to the popular relational model or to some related form of it. To satisfy the need of modeling complex objects with imprecision and uncertainty, recently many researches have been concentrated on fuzzy semantic (conceptual) and object-oriented data models. This chapter reviews fuzzy database modeling technologies, including fuzzy conceptual data models and database models. Concerning fuzzy database models, fuzzy relational databases, fuzzy nested relational databases, and fuzzy object-oriented databases are discussed, respectively.

Related Content

Nuno Silva, Pedro Sousa, Miguel Mira da Silva. © 2019. 19 pages.
Ioannis Routis, Mara Nikolaidou, Nancy Alexopoulou. © 2019. 21 pages.
Jeffrey S. Zanzig, Guillermo A. Francia III, Xavier P. Francia. © 2019. 26 pages.
S. B. Goyal. © 2019. 30 pages.
Maria João Ferreira, Fernando Moreira, Isabel Seruca. © 2019. 24 pages.
Agostino Poggi, Paolo Fornacciari, Gianfranco Lombardo, Monica Mordonini, Michele Tomaiuolo. © 2019. 21 pages.
Rüdiger Pryss, Manfred Reichert. © 2019. 26 pages.
Body Bottom