Aplicação da lógica fuzzy em processos de decisão econômica
AbstractIn 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 InfoPaper provided by Universidade Federal do Paraná, Department of Economics in its series Working Papers with number 0084.
Length: 20 pages
Date of creation: 2009
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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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complexity; uncertainty; decision; fuzzy;
Find related papers by JEL classification:
- B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-10-17 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Hodgson, Geoffrey M, 1997. "The Ubiquity of Habits and Rules," Cambridge Journal of Economics, Oxford University Press, vol. 21(6), pages 663-84, November.
- 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.
- 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.
- Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1, January.
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