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Vestnik Novosibirskogo Gosudarstvennogo Universiteta. Seriya Matematika, Mekhanika, Informatika, 2010, Volume 10, Issue 2, Pages 118–134
(Mi vngu45)
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This article is cited in 1 scientific paper (total in 1 paper)
In Regular Intervals Fuzzy Model of Linear Regression
I. V. Ponomarev, V. V. Slavsky Altai State Pedagogical Academy
Abstract:
In this paper the fuzzy and ordinary model in the case of simple linear regression is studied. The geometrical interpretation of fuzzy model and its comparing with ordinary model of simple linear regression are given. The computing complexity of fuzzy model of linear regression is investigated. The effective algorithms of the decision having complexity of the orders $O (n\log n) $, $O (n^2) $, and their realization in MatLab are indicated.
Keywords:
fuzzy linear regression model, computational complexity.
Received: 16.10.2008
Citation:
I. V. Ponomarev, V. V. Slavsky, “In Regular Intervals Fuzzy Model of Linear Regression”, Vestn. Novosib. Gos. Univ., Ser. Mat. Mekh. Inform., 10:2 (2010), 118–134; J. Math. Sci., 186:3 (2012), 478–494
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https://www.mathnet.ru/eng/vngu45 https://www.mathnet.ru/eng/vngu/v10/i2/p118
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Abstract page: | 249 | Full-text PDF : | 129 | References: | 43 | First page: | 1 |
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