Text-based decision making with artificial immune systems

  • Authors:
  • Hana Kopackova;Ludek Kopacek

  • Affiliations:
  • Faculty of Economics and Administration, Institute of System Engineering and Informatics, University of Pardubice, Pardubice, Czech Republic;Faculty of Economics and Administration, Institute of System Engineering and Informatics, University of Pardubice, Pardubice, Czech Republic

  • Venue:
  • SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
  • Year:
  • 2006

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Abstract

Decision making is one of the most important manager activities. Especially in these days, full of different information, it is necessary to distinguish between important and unimportant information to make significant decision. Especially unstructured documents can be full of hidden information. Usage of text classification can significantly lower manager workload and raise objectivity of decision making process. Automated processing of text documents can also prevent simplification and generalisation, which allow us to decide on the base of small amount of cases and widen this decision on all cases. The aim of this paper is to find methods which fulfil criteria put on text classification done by managers due decision making process.