Data Engineering

Fuzzy Mathematics in Systems Theory and Data Analysis

Olaf Wolkenhauer (Autor)

Buch | Hardcover

296 Seiten

2001
Wiley-Interscience (Verlag)
978-0-471-41656-2 (ISBN)

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There are many situations in science and engineering where complex output data from a given system is used to formulate a model of how that system operates, or to simulate its response to different inputs. Applications include control, decision theory, and the emerging fields of bioinformatics.

Although data engineering is a multi-disciplinary field with applications in control, decision theory, and the emerging hot area of bioinformatics, there are no books on the market that make the subject accessible to non-experts. This book fills the gap in the field, offering a clear, user-friendly introduction to the main theoretical and practical tools for analyzing complex systems. An ftp site features the corresponding MATLAB and Mathematical tools and simulations.
Market: Researchers in data management, electrical engineering, computer science, and life sciences.

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).

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.

Erscheint lt. Verlag	20.7.2001
Sprache	englisch
Maße	162 x 245 mm
Gewicht	619 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Mathematik / Informatik ► Mathematik ► Logik / Mengenlehre
	Technik ► Elektrotechnik / Energietechnik
ISBN-10	0-471-41656-8 / 0471416568
ISBN-13	978-0-471-41656-2 / 9780471416562
Zustand	Neuware