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Methodological Principles of Uncertainty in Information Systems Modeling

  • George J. Klir

Abstract

System modeling permeates all disciplines of science, both natural and artificial. The general concepts of system modeling are presented in summary fashion. The key role of uncertainty in system modeling is discussed including the principles of maximum and minimum uncertainty. Recent results regarding conceptualization of uncertainty, which demonstrate that uncertainty is a multidimensional concept, are overviewed, and the implications for modeling in information and software engineering are discussed.

Keywords

Shannon Entropy Information Retrieval System Possibility Distribution Evidence Theory Possibility Theory 
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

© Plenum Press, New York 1990

Authors and Affiliations

  • George J. Klir
    • 1
  1. 1.Department of Systems Science Thomas J. Watson SchoolState University of New YorkBinghamtonUSA

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