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Qualitative Simulation Modeling and Analysis pp 24–50Cite as

Aspects of Uncertainty in Qualitative Systems Modeling

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Part of the book series: Advances in Simulation ((ADVS.SIMULATION,volume 5))

Abstract

It is argued in this chapter that uncertainty is a valuable commodity in systems modeling, which can be traded for a reduction of complexity or an increase of credibility of systems models. Principles of maximum and minimum uncertainty are introduced as fundamental to problems involving ampliative reasoning and problems of systems simplification, respectively. Novel mathematical theories for dealing with uncertainty and measures of relevant types of uncertainty in these theories are overviewed. It is shown that uncertainty is a multidimensional concept, and consequently, the principles of maximum and minimum uncertainty must be formulated as multiple objective criteria optimization problems.

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Authors
  1. George J. Klir
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Editor information

Editors and Affiliations

  1. Computer and Information Sciences Department, University of Florida, Gainesville, FL, 32611-2024, USA

    Paul A. Fishwick

  2. Department of Computer Science, California State University, Chico, Chico, CA, 95929-0410, USA

    Paul A. Luker

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© 1991 Springer-Verlag New York, Inc.

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Klir, G.J. (1991). Aspects of Uncertainty in Qualitative Systems Modeling. In: Fishwick, P.A., Luker, P.A. (eds) Qualitative Simulation Modeling and Analysis. Advances in Simulation, vol 5. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9072-5_2

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  • DOI: https://doi.org/10.1007/978-1-4613-9072-5_2

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97400-2

  • Online ISBN: 978-1-4613-9072-5

  • eBook Packages: Springer Book Archive

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