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  • Není k dispozici (cs)
  • 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.
  • 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. (en)
Title
  • Není k dispozici (cs)
  • Application Of Soft Computing Techniques to Classification Of Licensed Subjects
  • Application Of Soft Computing Techniques to Classification Of Licensed Subjects (en)
skos:prefLabel
  • Není k dispozici (cs)
  • Application Of Soft Computing Techniques to Classification Of Licensed Subjects
  • Application Of Soft Computing Techniques to Classification Of Licensed Subjects (en)
skos:notation
  • RIV/68407700:21230/04:03099853!RIV/2005/GA0/212305/N
http://linked.open.../vavai/riv/strany
  • 481 ; 488
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/02/0132)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 555178
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/04:03099853
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • classification; decision trees; evolutionary algorithms; neural networks (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [DD1990C54943]
http://linked.open...v/mistoKonaniAkce
  • Vídeň
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • Emerging Solutions for Future Manufacturing Systems
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Jiřina, Marcel
  • Kubalík, Jiří
  • Lhotská, Lenka
  • Starý, Oldřich
  • Suchý, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 0-387-22828-4
http://localhost/t...ganizacniJednotka
  • 21230
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