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Fuzzy Statistics and Policy Analysis

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Fuzzy Sets

Abstract

In this paper we report on the development of analytic methods which enable us to model and analyze physical systems by utilizing qualitative and quantitative fuzzy techniques. The main body of our research contains the development of a model for fuzzy statistics and its possible applications to evaluation of knowledge-base systems, modeling of social-economic systems, and the analysis of the policy decision.

Applications are described of the theory of fuzzy statistics in the analysis of fuzzy systems represented by a “soft” decisionmaking procedure.

The technique can be applied to many nondeterministic dynamical processes, since it has the virtues of simplicity and, where comparison with physical experiments can be made, accuracy, with minimal complexity of computations.

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References

  1. Gaines, R. R., 1975, General Fuzzy Logics, EES-MMS-Fuzz-75, University of Essex, U.K.

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Author information

Authors and Affiliations

  1. Computer Science, Florida State University, Tallahassee, FL, 32306, USA

    Abraham Kandel (Director)

Authors
  1. Abraham Kandel
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Editor information

Editors and Affiliations

  1. Duke University, Durham, North Carolina, USA

    Paul P. Wang

  2. University of Illinois, Chicago, Illinois, USA

    S. K. Chang

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© 1980 Plenum Press, New York

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Kandel, A. (1980). Fuzzy Statistics and Policy Analysis. In: Wang, P.P., Chang, S.K. (eds) Fuzzy Sets. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-3848-2_12

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  • DOI: https://doi.org/10.1007/978-1-4684-3848-2_12

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-3850-5

  • Online ISBN: 978-1-4684-3848-2

  • eBook Packages: Springer Book Archive

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