Publication detail

The Use of Soft Computing Methods for Forecasting in Business, Their Applications in Practice

DOSTÁL, P.

Original Title

The Use of Soft Computing Methods for Forecasting in Business, Their Applications in Practice

Type

journal article in Web of Science

Language

English

Original Abstract

This article introduces utilization of soft computing methods for forecasting in business. The methods are represented by fuzzy logic, neural network and genetic algorithms. The tutorial is focused on explanation of principles of methods. The case studies include their application in practice, such as prediction of prices of products, volume of production, estimation of prices of real estate, evaluation of quality of client creditworthiness, prediction of risk rating of mortgages, the prediction of future trends in financial and economic data, the creation and optimization of portfolios, prediction of prices of shares, indexes, currency ratios, etc. The aim is to be familiar with these methods and their applications.

Keywords

Soft computing, Forecasting, Business, Practice

Authors

DOSTÁL, P.

RIV year

2012

Released

5. 9. 2012

Publisher

Springer-Verlag

Location

Berlin Heidelberg

ISBN

2194-5357

Periodical

Advances in Intelligent Systems and Computing

Year of study

192

Number

1

State

Swiss Confederation

Pages from

49

Pages to

60

Pages count

12

URL

http://www.springer.com/physics/complexity/book/978-3-642-33226-5

BibTex

@article{BUT93832,
  author="Petr {Dostál}",
  title="The Use of Soft Computing Methods for Forecasting in Business, Their Applications in Practice",
  journal="Advances in Intelligent Systems and Computing",
  year="2012",
  volume="192",
  number="1",
  pages="49--60",
  issn="2194-5357",
  url="http://www.springer.com/physics/complexity/book/978-3-642-33226-5"
}