Name
Abstract | ||
|---|---|---|
This paper presents an application of soft computing techniques to the construction of decision support tool used for identifying the economically unstable licensed subjects. ne 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. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/0-387-22829-2_52 | INTERNATIONAL FEDERATION FOR INFORMATION PROCESSING |
Keywords | Field | DocType |
artificial neural network,decision tree,soft computing | Decision tree,Multivariate statistics,Computer science,Decision support system,Genetic programming,Artificial intelligence,Guard (information security),Soft computing,Artificial neural network,Economic problem,Machine learning | Conference |
Volume | ISSN | Citations |
159 | 1571-5736 | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jirí Kubalík | 1 | 11 | 6.50 |
| Marcel Jirina | 2 | 12 | 5.34 |
| Oldrich Starý | 3 | 1 | 0.68 |
| Lenka Lhotská | 4 | 109 | 30.24 |
| Jan Suchý | 5 | 0 | 0.68 |