Linear Fuzzy Regressions versus Power Fuzzy Regressions

Ovidiu Gherasim ()
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Ovidiu Gherasim: The Romanian Academy

Ovidius University Annals, Economic Sciences Series, 2021, vol. XXI, issue 2, 278-285

Abstract: Under the current conditions, the input data (values of the point cloud coordinates) necessary to achieve correlations and regressions between two variables representing two economic indicators are highly uncertain. However, by consulting a consistent number of specialists (a minimum of 3), by ordering and grouping the values obtained from them in 3 groups we can obtain, as arithmetic mean of the groups, modeling of the input data with triangular fuzzy numbers. In the article we presented the working method for obtaining linear fuzzy regressions and power fuzzy regressions then we compared the two types of fuzzy regressions by calculating the associated correlation coefficients.

Keywords: linear fuzzy regressions; fuzzy power regressions; triangular fuzzy numbers (search for similar items in EconPapers)
JEL-codes: C40 D80 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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