Overview
- Introductory book to Soft Computing in Economics and Finance
- Foundations of Soft Computing methods in Economics and Finance
- Written by a leading expert in the field
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 6)
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Table of contents (7 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Soft Computing in Economics and Finance
Authors: Ludmila Dymowa
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-17719-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-17718-7Published: 14 January 2011
Softcover ISBN: 978-3-642-42326-0Published: 14 October 2014
eBook ISBN: 978-3-642-17719-4Published: 21 January 2011
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XII, 295
Topics: Computational Intelligence, Artificial Intelligence, Operations Research/Decision Theory