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Abstract

A decision network is a finite, directed acyclic graph, nodes of which represent logical formulas, whereas branches – are interpreted as decision rules. Every path in the graph represents a chain of decision rules, which describe compound decision.

Some properties of decision networks will be given and a simple example will illustrate the presented ideas and show possible applications.

Keywords

decision rules decision algorithms decision networks 

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References

  1. 1.
    Łukasiewicz, J.: Die logishen Grundlagen der Wahrscheinilchkeitsrechnung. Kraków (1913); In: Borkowski, L. (ed.): Jan Łukasiewicz – Selected Works, pp. 16–63. North Holland Publishing Company, Polish Scientific Publishers, Amsterdam, London, Warsaw (1970)Google Scholar
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    Pawlak, Z.: Probability, Truth and Flow Graphs. In: Skowron, A., Szczuka, M. (eds.) RSKD – International Workshop and Soft Computing, ETAPS 2003, Warsaw, pp. 1–9 (2003)Google Scholar
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    Pawlak, Z.: Flow graphs and decision algorithms. In: Wang, G., Liu, Q., Yao, Y.Y., Skowron, A. (eds.) RSFDGrC 2003. LNCS (LNAI), vol. 2639, pp. 1–11. Springer, Heidelberg (2003)CrossRefGoogle Scholar
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    Słowiński, R., Greco, S.: A note on dependency factor (manuscript)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Zdzisław Pawlak
    • 1
    • 2
  1. 1.Institute for Theoretical and Applied InformaticsPolish Academy of SciencesGliwicePoland
  2. 2.Warsaw School of Information TechnologyWarsawPoland

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