Resumo

ENCISO PULIDO, Mónica; ACOSTA HERNANDEZ, Andrés  e  CAMPO ROBLEDO, Jacobo. Fuzzy inference system for inflation in Colombia. Ens. polit. econ. [online]. 2013, vol.31, n.71, pp.73-84. ISSN 0120-4483.

SIDIC is a fuzzy inference system that considers subjective assessments, which are approximated to accurate values, applying to economic variables considered as determining factors of inflation and its application shows a new possibility for analyzing and the forecasting of one of the most relevant indicators of the decisions that should be made by the financial authorities. The results of the implementation of this system show the expected behavior, and in this sense, we can say that the application of fuzzy logic to a problem, such as predicting the annual inflation rate is valid and opens new ways to study mechanisms that can be applied in making monetary policy decisions.

Palavras-chave : Classic logic; Fuzzy logic; Membership function; Fuzzy inference system; Defuzzification; Fuzzy rules; Inflation.

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