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Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis / Edition 1
     

Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis / Edition 1

by Olaf Wolkenhauer
 

ISBN-10: 0471416568

ISBN-13: 9780471416562

Pub. Date: 07/11/2001

Publisher: Wiley

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

Overview

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.

Product Details

ISBN-13:
9780471416562
Publisher:
Wiley
Publication date:
07/11/2001
Pages:
296
Product dimensions:
6.38(w) x 9.65(h) x 1.00(d)

Table of Contents

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.

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