Zongmin Ma

Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book presents recent advances for imprecise and uncertain engineering information from the point of view of fuzzy database modeling. The topics include fuzzy conceptual data modeling of engineering information, conversion of the fuzzy conceptual models, and database implementation of the fuzzy conceptual data models. Some major data and database models for engineering information modeling are investigated. The main novel aspect of this book is that the book focuses on imprecise and uncertain industrial information modeling viewed from databases and fuzzy database technologies viewed from industrial applications. This may be useful for people involved in theory research, design implementation, and application development of intelligent engineering databases.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 210
• Erscheinungstermin: 12. September 2008
• Englisch
• ISBN-13: 9783540330134
• Artikelnr.: 44223711

Autorenporträt

Zongmin Ma, Université de Sherbrooke, QB, Canada

Inhaltsangabe

Engineering Information Modeling in Databases.- Information Imprecision and Uncertainty in Engineering.- Fuzzy Sets and Possibility Distributions.- The Fuzzy ER/EER and UML Data Models.- The Fuzzy IDEF1X Models.- The Fuzzy EXPRESS Model.- The Fuzzy Logical Databases.- Conceptual Designs of the Fuzzy Databases.- Relational and Nested Relational Database Implementations of the Fuzzy IDEF1X and EXPRESS-G Models.- Object-Oriented Database Implementation of the Fuzzy EXPRESS Model.

Rezensionen

From the reviews: "The book offers a survey of fuzzy approaches to databases that serve for engineering applications. ... The main value of the book is that it describes fuzzy approaches to databases in two levels: conceptual and logical. This makes the book different from other ones in this area and can be recommended to interested readers." (Jaroslav Pokorný, Zentralblatt MATH, Vol. 1125 (2), 2008)