Harmonisation of Soft Logical Inference Rules in Distributed Decision Systems

  • Juliusz L. Kulikowski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4252)


It is considered a problem of harmonisation of diagnostic rules used in a distributed set of diagnostic centres, the rules being based on a k-most-similar-cases approach. Harmonisation is reached due to an exchange of diagnostic cases among the reference sets stored in the centres. The method is based on general concepts of similarity, semi-similarity and structural compatibilitymeasures used to evaluation of adequacy of records in remote data files to the requirements connected with supporting decision making in a given, local diagnostic centre. The procedure of local reference set extension by diagnostic cases selection and acquisition is described.


Diagnostic Centre Structure Record Structural Compatibility Diagnostic Case Final Decision Making 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Juliusz L. Kulikowski
    • 1
  1. 1.Institute of Biocybernetics and Biomedical Engineering PASWarsawPoland

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