Abstract
A fuzzy combined linear regression model for fuzzy initial data, which are tolerant (L-R)-numbers with constraints on the functions L and R, is designed. The model is called combined since it is a combination of two regression models—a fuzzy model and a classical model. Its coefficients are determined as unimodal (L-R)-numbers. The solution method consists in determining weighted intervals for the tolerant (L-R)-numbers and then applying of the least-squares method.
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Domrachev, V.G., Poleshuk, O.M. A Regression Model for Fuzzy Initial Data. Automation and Remote Control 64, 1715–1723 (2003). https://doi.org/10.1023/A:1027322111898
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DOI: https://doi.org/10.1023/A:1027322111898