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Support vector fuzzy regression machines
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DOI：10.1016/S0165-0114(02)00514-6.png)
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Support vector machine (SVM) has been very successful in pattern recognition and function estimation problems. In this paper, we introduce the use of SVM for multivariate fuzzy linear and nonlinear regression models. Using the basic idea underlying SVM for multivariate fuzzy regressions gives computational efficiency of getting solutions. (C) 2002 Elsevier B.V. All rights reserved.
Keyword:
fuzzy inference systems
support vector machine
fuzzy regression
fuzzy system models
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