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Oligopoly and behavioral uncertainty: An application of fuzzy set theory

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Abstract

This paper provides a brief sketch of fuzzy mathematics. It employs this relatively new mathematical tool to define and describe oligopoly markets and to quantitatively establish the impacts of uncertainty on the decision making that is intrinsic to oligopolistic industries. It illustrates how the technique would be used, for example, by applying fuzzy mathematics to the Herfindahl-Hirschman Index.

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Authors and Affiliations

  1. Arizona State University West, 85069, Phoenix, AZ, USA

    John G. Greenhut, M. L. Greenhut & Yusuf Mansur

  2. Texas A&M University, 77843, College Station, TX, USA

    John G. Greenhut, M. L. Greenhut & Yusuf Mansur

  3. University of Oklahoma, 73019, Norman, OK, USA

    John G. Greenhut, M. L. Greenhut & Yusuf Mansur

Authors
  1. John G. Greenhut
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  2. M. L. Greenhut
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  3. Yusuf Mansur
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The authors acknowledge and appreciate the helpful comments provided by the anonymous referees.

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Greenhut, J.G., Greenhut, M.L. & Mansur, Y. Oligopoly and behavioral uncertainty: An application of fuzzy set theory. Rev Ind Organ 10, 269–288 (1995). https://doi.org/10.1007/BF01027075

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