
Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information / Edition 1
by Zongmin MaView All Available Formats & Editions
ISBN-10: 3642067956
ISBN-13: 9783642067952
Pub. Date: 11/23/2010
Publisher: Springer Berlin Heidelberg
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
Overview
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.
Product Details
- ISBN-13:
- 9783642067952
- Publisher:
- Springer Berlin Heidelberg
- Publication date:
- 11/23/2010
- Series:
- Studies in Fuzziness and Soft Computing Series , #195
- Edition description:
- Softcover reprint of hardcover 1st ed. 2006
- Pages:
- 210
- Product dimensions:
- 6.10(w) x 9.25(h) x 0.36(d)
Table of Contents
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.
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