Data Engineering ：Fuzzy Mathematics in Systems Theory and Data Analysis

Publication subTitle ：Fuzzy Mathematics in Systems Theory and Data Analysis

Author： Olaf Wolkenhauer  

Publisher： John Wiley & Sons Inc‎

Publication year： 2004

E-ISBN: 9780471464105

P-ISBN(Hardback):  9780471416562

Subject： TN4 microelectronics, integrated circuit (IC)

Language： ENG

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

Chapter

Contents

pp.：  1 – 6

Preface

pp.：  6 – 10

Acknowledgments

pp.：  10 – 18

Introduction

pp.：  18 – 20

1 System Analysis

pp.：  20 – 34

2 Uncertainty Techniques

pp.：  34 – 64

3 Learning from Data: System Identification

pp.：  64 – 102

4 Propositions as Subsets of the Data Space

pp.：  102 – 116

5 Fuzzy Systems and Identification

pp.：  116 – 142

6 Random-Set Modelling and Identification

pp.：  142 – 162

7 Certain Uncertainty

pp.：  162 – 178

8 Fuzzy Inference Engines

pp.：  178 – 194

9 Fuzzy Classification

pp.：  194 – 206

10 Fuzzy Control

pp.：  206 – 214

11 Fuzzy Mathematics

pp.：  214 – 230

12 Summary

pp.：  230 – 246

13 Appendices

pp.：  246 – 264

Index

pp.：  264 – 288

LastPages

pp.：  288 – 297

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