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Soft Computing in Financial Engineering

  • A state of the art about new techniques applied to the emergent field of Financial Engineering

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 28)

About this book

The focus is on the application of soft computing to a new emerging discipline called financial engineering. Financial engineering can be seen as a field emerging out of an attempt to address the issues of concern in finance with the tools and perspectives of engineering, especially electrical and systems engineering. The ability to measure almost all financial variables in quantifiable terms, the strong emphasis on optimization, and the centrality of time dependency provide for a strong overlap of those disciplines. This all provides a synergistic effect, and makes it possible to more effectively and efficiently deal with a variety of problems related to broadly perceived financial analyses.

Keywords

  • Audit
  • Finance
  • Revision
  • Service-Oriented Architecture
  • artificial neural network
  • backpropagation
  • data mining
  • fuzziness
  • fuzzy logic
  • fuzzy methods
  • information system
  • modeling
  • optimization
  • systems engineering
  • uncertainty

Editors and Affiliations

  • RWTH Aachen LS Unternehmensforschung, Aachen, Germany

    Hans-Jürgen Zimmermann

  • Iona College Machine Intelligence Institute, New Rochelle, USA

    Ronald R. Yager

Bibliographic Information

  • Book Title: Soft Computing in Financial Engineering

  • Editors: Rita A. Ribeiro, Hans-Jürgen Zimmermann, Ronald R. Yager

  • Series Title: Studies in Fuzziness and Soft Computing

  • Publisher: Physica Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Physica-Verlag Heidelberg 1999

  • eBook ISBN: 978-3-7908-1878-9

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1