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© 2000

Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering

Book

Part of the Applied Optimization book series (APOP, volume 38)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Constantin Zopounidis, Michael Doumpos
    Pages 1-36
  3. Constantin Zopounidis, Michael Doumpos
    Pages 37-82
  4. Constantin Zopounidis, Michael Doumpos
    Pages 83-119
  5. Constantin Zopounidis, Michael Doumpos
    Pages 121-166
  6. Constantin Zopounidis, Michael Doumpos
    Pages 167-191
  7. Constantin Zopounidis, Michael Doumpos
    Pages 193-196
  8. Back Matter
    Pages 197-217

About this book

Introduction

This book provides a new point of view on the field of financial engineering, through the application of multicriteria intelligent decision aiding systems. The aim of the book is to provide a review of the research in the area and to explore the adequacy of the tools and systems developed according to this innovative approach in addressing complex financial decision problems, encountered within the field of financial engineering.
Audience: Researchers and professionals such as financial managers, financial engineers, investors, operations research specialists, computer scientists, management scientists and economists.

Keywords

Prolog decision problem decision support system expert system knowledge operations research

Authors and affiliations

  1. 1.Deptartment of Production Engineering and ManagementTechnical University of CreteChaniaGreece

Bibliographic information

  • Book Title Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering
  • Authors Constantin Zopounidis
    Michael Doumpos
  • Series Title Applied Optimization
  • DOI https://doi.org/10.1007/978-1-4615-4663-4
  • Copyright Information Springer-Verlag US 2000
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Hardcover ISBN 978-0-7923-6273-9
  • Softcover ISBN 978-1-4613-7110-6
  • eBook ISBN 978-1-4615-4663-4
  • Series ISSN 1384-6485
  • Edition Number 1
  • Number of Pages XVIII, 217
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Artificial Intelligence
    Finance, general
    Operations Research/Decision Theory
  • Buy this book on publisher's site
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