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Application of Fuzzy Set Theory to Economics

In: Advances in Fuzzy Sets, Possibility Theory, and Applications

Author

Listed:
  • Guo Quan Chen

    (University of Oklahoma, School of Electrical Engineering and Computer Science)

  • Samuel C. Lee

    (University of Oklahoma, School of Electrical Engineering and Computer Science)

  • Eden S. H. Yu

    (University of Oklahoma, College of Business Administration)

Abstract

It has been widely recognized by economists that economic behavior generally involves both elements of stochasticness and/or fuzziness. The objects which economic theory deals with are replete with all sorts of fuzzy emotions, perceptions and processes. While a rich literature on economic behavior under a stochastic environment has developed during the past decade,1 it is notable that virtually no systematic attempt has been made to-date to investigate economic behavior under fuzziness.

Suggested Citation

  • Guo Quan Chen & Samuel C. Lee & Eden S. H. Yu, 1983. "Application of Fuzzy Set Theory to Economics," Springer Books, in: Paul P. Wang (ed.), Advances in Fuzzy Sets, Possibility Theory, and Applications, pages 277-305, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4613-3754-6_18
    DOI: 10.1007/978-1-4613-3754-6_18
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