一本比较专业且高深的书,发给看得懂的朋友.

Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis
Olaf Wolkenhauer

格式:DjVu
ISBN: 978-0-471-41656-2
Hardcover
287 pages
Wiley,July 2001

Book Description:
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.

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.