Abstract
To analyze relations between qualitative characteristics and the prediction of their values the methods of fuzzy regression analysis are used, which being actively developed have already considerably expanded boundaries of application of classical regression analysis methods, i.e. they allow to construct the regression relations on the basis of fuzzy initial information. Besides, this information can be of both quantitative and qualitative nature, thus, making possible application of methods of fuzzy regression analysis in the theory of expert evaluations and ensuring practical applications in various spheres of human activity [188, 189].
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© 2011 Springer-Verlag Berlin Heidelberg
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Poleshchuk, O., Komarov, E. (2011). Complete Orthogonal Semantic Spaces in Problems of the Fuzzy Regression Analysis. In: Expert Fuzzy Information Processing. Studies in Fuzziness and Soft Computing, vol 268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20125-7_6
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DOI: https://doi.org/10.1007/978-3-642-20125-7_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20124-0
Online ISBN: 978-3-642-20125-7
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