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Fifty Years of Fuzzy Logic and its Applications pp 401–414Cite as

On Fuzzy Theory for Econometrics

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 326))

Abstract

This paper aims mainly at informing statisticians and econometricians of relevant concepts and methods in fuzzy theory that are useful in addressing economic problems. We emphasize three recent significant contributions of fuzzy theory to economics, namely fuzzy games for capital risk allocations, fuzzy rule bases and compositional rule of inference for causal inference, and a statistical setting for fuzzy data based on continuous lattices.

Dedicated to Lotfi Zadeh.

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Author information

Authors and Affiliations

  1. Department of Mathematical Sciences, New Mexiso State University, Las Cruces, USA

    Hung T. Nguyen

  2. Faculty of Economics, Chiang Mai University, Chiang Mai, Thailand

    Songsak Sriboonchitta

Authors
  1. Hung T. Nguyen
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  2. Songsak Sriboonchitta
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Corresponding author

Correspondence to Hung T. Nguyen .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Texas State University, San Marcos, Texas, USA

    Dan E. Tamir

  2. School of Computing and Information Sciences, Florida International University, Miami, Florida, USA

    Naphtali D. Rishe

  3. School of Computing and Information Sciences, The University of South Florida, Tampa, Florida, USA, and Florida International University, Miami, Florida, USA

    Abraham Kandel

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Nguyen, H.T., Sriboonchitta, S. (2015). On Fuzzy Theory for Econometrics. In: Tamir, D., Rishe, N., Kandel, A. (eds) Fifty Years of Fuzzy Logic and its Applications. Studies in Fuzziness and Soft Computing, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-319-19683-1_21

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  • DOI: https://doi.org/10.1007/978-3-319-19683-1_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19682-4

  • Online ISBN: 978-3-319-19683-1

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