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Optimal Alternative Selection in The Face of Evidential Knowledge

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Optimization Models Using Fuzzy Sets and Possibility Theory

Part of the book series: Theory and Decision Library ((TDLB,volume 4))

Abstract

We discuss the problem of selecting an optimal alternative in the face of uncertain knowledge about the state of nature. We then introduce a general framework for representing the knowledge about the state of nature. This general framework is based upon the use of fuzzy sets, possibility theory and the Dempster-Shafer mathematical theory of evidence. We then suggest an approach to the selection of an optimal alternative in this more general framework.

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References

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Author information

Authors and Affiliations

  1. Machine Intelligence Institute, Iona College, New Rochelle, NY, 10801, USA

    Ronald R. Yager

Authors
  1. Ronald R. Yager
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Editor information

Editors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    J. Kacprzyk

  2. International Institute for Applied Systems Analysis, Laxenburg, Austria

    S. A. Orlovski

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© 1987 Springer Science+Business Media Dordrecht

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Yager, R.R. (1987). Optimal Alternative Selection in The Face of Evidential Knowledge. In: Kacprzyk, J., Orlovski, S.A. (eds) Optimization Models Using Fuzzy Sets and Possibility Theory. Theory and Decision Library, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3869-4_9

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  • DOI: https://doi.org/10.1007/978-94-009-3869-4_9

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8220-4

  • Online ISBN: 978-94-009-3869-4

  • eBook Packages: Springer Book Archive

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