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Soft Computing and its Applications in Business and Economics

  • Rafik Aziz Aliev
  • Bijan Fazlollahi
  • Rashad Rafik Aliev

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 157)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Rafik Aziz Aliev, Bijan Fazlollahi, Rashad Rafik Aliev
    Pages 1-9
  3. Rafik Aziz Aliev, Bijan Fazlollahi, Rashad Rafik Aliev
    Pages 11-158
  4. Rafik Aziz Aliev, Bijan Fazlollahi, Rashad Rafik Aliev
    Pages 159-218
  5. Rafik Aziz Aliev, Bijan Fazlollahi, Rashad Rafik Aliev
    Pages 219-242
  6. Rafik Aziz Aliev, Bijan Fazlollahi, Rashad Rafik Aliev
    Pages 243-331
  7. Rafik Aziz Aliev, Bijan Fazlollahi, Rashad Rafik Aliev
    Pages 333-350
  8. Rafik Aziz Aliev, Bijan Fazlollahi, Rashad Rafik Aliev
    Pages 351-402
  9. Rafik Aziz Aliev, Bijan Fazlollahi, Rashad Rafik Aliev
    Pages 403-429
  10. Rafik Aziz Aliev, Bijan Fazlollahi, Rashad Rafik Aliev
    Pages 431-446

About this book

Introduction

This monograph provides a self-contained exposition of the foundations of soft computing, and presents a vast compendium of its applications to business, finance, decision analysis and economics.

It is the first book on applications of soft computing - based hybrid methods combining fuzzy logic, neuro-computing, evolutionary computing, probabilistic computing and chaotic computing in functional areas of business and economics. The applications range from transportation and health case systems to intelligent stock market prediction, risk management systems, and e-commerce.

This book is a valuable aid to anyone considering the application of Soft Computing theory and technology to real problems of business and economics and can be used as a basic text for introducing business managers, scientists, teachers and students to Soft Computing technology, enabling them to initiate projects and make applications.

Keywords

Chaos Pattern Recognition Regression decision support system e-commerce electronic commerce evolutionary algorithm expert system linear optimization modeling multi-agent system nonlinear optimization probabilistic reasoning programming simulation

Authors and affiliations

  • Rafik Aziz Aliev
    • 1
  • Bijan Fazlollahi
    • 2
  • Rashad Rafik Aliev
    • 3
  1. 1.Department of Control SystemsAzerbaijan State Oil Academy, Joint MBA Program (USA, Azerbaijan)Baku az1010Azerbaijan
  2. 2.Department of Computer Information Systems & Institute of International Business, Robinson College of BusinessGeorgia State UniversityAtlantaUSA
  3. 3.Department of MathematicsEastern Mediterranean UniversityGazimagusa, Turkish Republic of North Cyprus, Mersin 10Turkey

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-44429-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-53588-8
  • Online ISBN 978-3-540-44429-9
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site