Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information
By: Ma, Zongmin [author.].
Contributor(s): SpringerLink (Online service).
Material type:
BookSeries: Studies in Fuzziness and Soft Computing: 195Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.Description: XVI, 210 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540330134.Subject(s): Engineering | Database management | Artificial intelligence | Applied mathematics | Engineering mathematics | Engineering | Appl.Mathematics/Computational Methods of Engineering | Database Management | Artificial Intelligence (incl. Robotics) | Applications of MathematicsDDC classification: 519 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK9053 |
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.
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.
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