Application Of Soft Computing Techniques to Classification Of Licensed Subjects
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03099853" target="_blank" >RIV/68407700:21230/04:03099853 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Application Of Soft Computing Techniques to Classification Of Licensed Subjects
Original language description
This paper presents an application of soft computing techniques to the construction of decision support tool used for identifying the economically unstable licensed subjects. The work has been initiated by the Czech Energy Regulatory Office whose main mission is to guard the regular heat supply without significant disturbances. Thus the main goal is to develop a tool for automatic identification of the companies that could cancel the supply due to economic problems without detailed examination of each company. In order to achieve the goal two approaches have been chosen. The first one is based on development of an aggregate evaluation criterion for assessing the firms. The other one uses artificial neural networks and multivariate decision trees induced with genetic programming for classification of the firms.
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GA102%2F02%2F0132" target="_blank" >GA102/02/0132: Use of genetic principles in evolutionary algorithms</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Emerging Solutions for Future Manufacturing Systems
ISBN
0-387-22828-4
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
481-488
Publisher name
Springer
Place of publication
New York
Event location
Vídeň
Event date
Sep 27, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—