Wolkenhauer Data Engineering

Fuzzy Mathematics in Systems Theory and Data Analysis
1. Auflage 2004
ISBN: 978-0-471-46410-5
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 296 Seiten, E-Book

Although data engineering is a multi-disciplinary field withapplications in control, decision theory, and the emerging hot areaof bioinformatics, there are no books on the market that make thesubject accessible to non-experts. This book fills the gap in thefield, offering a clear, user-friendly introduction to the maintheoretical and practical tools for analyzing complex systems. Anftp site features the corresponding MATLAB and Mathematical toolsand simulations.

Market: Researchers in data management, electrical engineering,computer science, and life sciences.

Autoren/Hrsg.

Wolkenhauer, Olaf

Inhaltsverzeichnis

Preface.
Acknowledgments.
Introduction.
System Analysis.
Uncertainty Techniques.
Learning from Data: System Identification.
Propositions as Subsets of the Data Space.
Fuzzy Systems and Identification.
Random-Set Modelling and Identification.
Certain Uncertainty.
Fuzzy Inference Engines.
Fuzzy Classification.
Fuzzy Control.
Fuzzy Mathematics.
Summary.
Appendices.
Index.

Über Autor(innen)

OLAF WOLKENHAUER, PhD, holds degrees from the University of Applied Sciences in Hamburg, Germany and the University of Portsmouth in England and received his doctorate in Control Engineering from the University of Manchester Institute of Science and Technology (UMIST). He currently holds joint lectureships at UMIST in the Department of Biomolecular Sciences and the Department of Electrical Engineering and Electronics (Control Systems Center).