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Aplicação da lógica fuzzy em processos de decisão econômica

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  • Alexandre Souza

    ()
    (Departments of Economis, Banco Central do Brasil)

  • Gabriel Porcile

    ()
    (Department of Economics, Universidade Federal do Paraná)

Abstract

In the nonconventional economic literature decision processes are mainly analyzed on the basis of cognitive aspects (such as the existence of limited rationality) and institutional aspects (such as rules of thumb, institutions and conventions). The fuzzy logic, in turn, offers a form of treating the decision process when agents only have imprecise and subjective information in a context of complexity and uncertainty. This paper discusses the points of convergence and complementarities between the fuzzy logic and the theory of behavior based on limited rationality and rule-guided economic behavior.

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Bibliographic Info

Paper provided by Universidade Federal do Paraná, Department of Economics in its series Working Papers with number 0084.

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Length: 20 pages
Date of creation: 2009
Date of revision:
Handle: RePEc:fup:wpaper:0084

Note: Creation Date corresponds to the year in which the paper was published on the Department of Economics website. The paper may have been written a small number of months before its publication date.
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Keywords: complexity; uncertainty; decision; fuzzy;

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  1. Hodgson, Geoffrey M, 1997. "The Ubiquity of Habits and Rules," Cambridge Journal of Economics, Oxford University Press, vol. 21(6), pages 663-84, November.
  2. Shepherd, David & Shi, Francis K.C., 2006. "Fuzzy modelling and estimation of economic relationships," Computational Statistics & Data Analysis, Elsevier, vol. 51(1), pages 417-433, November.
  3. Sheila Dow & Dipak Ghosh, 2009. "Fuzzy logic and Keynes's speculative demand for money," Journal of Economic Methodology, Taylor & Francis Journals, vol. 16(1), pages 57-69.
  4. Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1, January.
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