Cognitive Analysis Techniques in Business Planning and Decision Support Systems

  • Ryszard Tadeusiewicz
  • Lidia Ogiela
  • Marek R. Ogiela
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4029)


This paper presents an entirely original concept of IT systems construction never published before. It supports the strategic business decision-making processes based on cognitive analysis methods. The essence of this new approach is in that the automatic understanding methods, tested previously in the area of medical image interpretation, enhancing the traditional set of automatic analysis and automatic classification methods, will be used to develop new generation business IT systems. This paper proposes a holistic concept of a new IT economy system, which is a significantly enhanced DSS-type system (Decision Support Systems). The essence of innovations introduced in this paper is in adding understandable business data to the analysis process of the said data. Such a system is essentially different from all known DSS-type systems, it is also different from all approaches to intelligent IT system construction, as described in the literature like, for example, those based on neural networks or in the use of expert systems. In this paper we therefore propose an acronym for the new system labelled UBMSS ( Understanding Based Managing Support Systems). Cognitive methods, on which the UBMSS concept and construct are based, copy the psychological and neurophysiological processes of understanding the analysed data, as they take place in the brain of a competent and particularly gifted man.


Business Process Decision Support System Strategic Decision Business Planning Business Process Management 
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

  • Ryszard Tadeusiewicz
    • 1
  • Lidia Ogiela
    • 2
  • Marek R. Ogiela
    • 1
  1. 1.Institute of AutomaticsAGH University of Science and TechnologyKrakówPoland
  2. 2.Faculty of ManagementAGH University of Science and TechnologyPoland

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