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Title: Robust estimations in classical regression models versus robust estimations in fuzzy regression models (English)
Author: Varga, Štefan
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 43
Issue: 4
Year: 2007
Pages: 503-508
Summary lang: English
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Category: math
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Summary: In this paper are presented two robust estimators of unknown fuzzy parameters in the fuzzy regression model and investigated the relationship between these robust estimators in the classical regression model and in the fuzzy regression model. (English)
Keyword: fuzzy regression model
Keyword: estimations
Keyword: robust estimations
Keyword: predictions
MSC: 62F10
MSC: 62F35
MSC: 62J02
MSC: 62J12
MSC: 62J99
idZBL: Zbl 1134.62012
idMR: MR2377928
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Date available: 2009-09-24T20:26:17Z
Last updated: 2012-06-06
Stable URL: http://hdl.handle.net/10338.dmlcz/135792
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Reference: [1] Bárdossy A., Duckstein L.: Fuzzy Rule? Based Modeling with Applications to Geophysical, Biological and Engrg.Systems. CRC Press, Boca Raton 1995
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Reference: [3] Huber P. J.: Robust Statistics.Wiley, New York 1981 MR 0606374
Reference: [4] Klir G. J., Yuan B.: Fuzzy Sets and Fuzzy Logic – Theory and Applications.Prentice Hall PTR, Upper Saddle River, NJ 1995 Zbl 0915.03001, MR 1329731
Reference: [5] Rousseeuw P. J.: Least median of squares regression.J. Amer. Statist. Assoc. 79 (1984), 871–880 Zbl 0551.62049, MR 0770281
Reference: [6] Šabo M.: On T-reverse of T-norms.Tatra Mt. Math. Pub. 12 (1997), 35–40 Zbl 0954.03060, MR 1607131
Reference: [7] Varga Š.: Robust estimations in statistics.In: PRASTAN 1998, pp. 86–114
Reference: [8] Varga Š.: Robust estimations in fuzzy linear regression models.In: Quo Vadis Computational Intelligence, Physica–Verlag, Heidelberg 2000, pp. 239–246 MR 1861548
Reference: [9] Varga Š., Šabo M.: Linear regression with fuzzy variables.In: The State of the Art in Computational Intelligence. Physica–Verlag, Heidelberg 2000, pp. 99–103 Zbl 0982.62066
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