Soft Computing in Economics and Finance

  • Ludmila Dymowa

Part of the Intelligent Systems Reference Library book series (ISRL, volume 6)

Table of contents

About this book

Introduction

Currently the methods of Soft Computing are successfully used for risk analysis in: budgeting, e-commerce development, portfolio selection, Black-Scholes option pricing models, corporate acquisition systems, evaluating investments in advanced manufacturing technology, interactive fuzzy interval reasoning for smart web shopping, fuzzy scheduling and logistic.
An essential feature of economic and financial problems it that there are always at least two criteria to be taken into account: profit maximization and risk minimization. Therefore, the economic and financial problems are multiple criteria ones. In this book, a new systematization of the problems of multiple criteria decision making is proposed which allows the author to reveal unsolved problems. The solutions of them are presented as well and implemented to deal with some important real-world problems such as investment project’s evaluation, tool steel material selection problem, stock screening and fuzzy logistic.
It is well known that the best results in real -world applications can be obtained using the synthesis of modern methods of soft computing. Therefore, the developed by the author  new approach to building effective stock trading systems, based on the synthesis of fuzzy logic and the Dempster-Shafer theory, seems to be a considerable contribution to the application of soft computing method in economics and finance.
An important problem of capital budgeting is the fuzzy evaluation of the Internal Rate of Return.   In this book,  this problem is solved using a new method which makes it possible to solve linear and nonlinear interval and fuzzy equations and systems of them. The developed new method allows the author to obtain an effective solution of the Leontjev’s input-output problem in the interval setting.

Keywords

Economics Economics Economics Finance Finance Finance Intelligent Systems Intelligent Systems Intelligent Systems Soft Computing Soft Computing Soft Computing

Authors and affiliations

  • Ludmila Dymowa
    • 1
  1. 1.Institute of Comp. & Information SciencesCzestochowa University of TechnologyCzestochowaPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-17719-4
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-17718-7
  • Online ISBN 978-3-642-17719-4
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • About this book