Support vector fuzzy regression machines

Authors:
Dug Hun Hong;Changha Hwang
Affiliations:
School of Mechanical and Automotive Engineering, Catholic University of Daegu, 330 Keumrak 1-ri Hayang-up Kyongsan, Kyungbuk 712 - 702, South Korea;Department of Statistical Information, Catholic University of Daegu, Kyungbuk 712 - 702, South Korea
Venue:
Fuzzy Sets and Systems - Theme: Learning and modeling
Year:
2003

Citing 9
Cited 30

Fuzzy least squares

Information Sciences: an International Journal
A practical approach to nonlinear fuzzy regression

SIAM Journal on Scientific and Statistical Computing
A training algorithm for optimal margin classifiers

COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
The nature of statistical learning theory

The nature of statistical learning theory
Support-Vector Networks

Machine Learning
Linear and non-linear fuzzy regression: evolutionary algorithm solutions

Fuzzy Sets and Systems
Multivariate non-linear fuzzy regression: an evolutionary algorithm approach

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Fuzzy Sets and Systems: Theory and Applications

Fuzzy Sets and Systems: Theory and Applications
A Tutorial on Support Vector Machines for Pattern Recognition

Data Mining and Knowledge Discovery

Analyzing the nonlinear time series of turbulent flows with kernel interval regression machine

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A novel fuzzy compensation multi-class support vector machine

Applied Intelligence
Fuzzy nonparametric regression based on local linear smoothing technique

Information Sciences: an International Journal
Dependency between degree of fit and input noise in fuzzy linear regression using non-symmetric fuzzy triangular coefficients

Fuzzy Sets and Systems
Extended support vector interval regression networks for interval input-output data

Information Sciences: an International Journal
Support vector fuzzy adaptive network in regression analysis

Computers & Mathematics with Applications
The theoretical foundations of statistical learning theory based on fuzzy number samples

Information Sciences: an International Journal
Fuzzy one-class support vector machines

Fuzzy Sets and Systems
Increasing accuracy of two-class pattern recognition with enhanced fuzzy functions

Expert Systems with Applications: An International Journal
Asymmetrical interval regression using extended ε -SVM with robust algorithm

Fuzzy Sets and Systems
Interval Regression Analysis with Soft-Margin Reduced Support Vector Machine

IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Fetal weight estimation using the evolutionary fuzzy support vector regression for low-birth-weight fetuses

IEEE Transactions on Information Technology in Biomedicine
On support vector regression machines with linguistic interpretation of the kernel matrix

Fuzzy Sets and Systems
A fuzzy support vector regression model for business cycle predictions

Expert Systems with Applications: An International Journal
Applying systematic diagnosis and product classification approaches to solve multiple products operational issues in shop-floor integration systems

Expert Systems with Applications: An International Journal
Support vector regression of membership functions and belief functions - Application for pattern recognition

Information Fusion
A fuzzy varying coefficient model and its estimation

Computers & Mathematics with Applications
Prediction of equipment maintenance using optimized support vector machine

ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Conservative and aggressive rough SVR modeling

Theoretical Computer Science
Fuzzy cost support vector regression on the fuzzy samples

Applied Intelligence
Fuzzy nonlinear regression model based on LS-SVM in feature space

FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Fuzzy support vector machines regression for business forecasting: an application

FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
A novel multi-class support vector machine based on fuzzy theories

ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Forecasting intermittent demand by fuzzy support vector machines

IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Software defect prediction using fuzzy support vector regression

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
A reduced support vector machine approach for interval regression analysis

Information Sciences: an International Journal
Revenue forecasting using a least-squares support vector regression model in a fuzzy environment

Information Sciences: an International Journal
Predicting student academic performance in an engineering dynamics course: A comparison of four types of predictive mathematical models

Computers & Education
Long-term business cycle forecasting through a potential intuitionistic fuzzy least-squares support vector regression approach

Information Sciences: an International Journal
Fuzzy classifier based on fuzzy support vector machine

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Quantified Score

Hi-index	0.01

Visualization

Abstract

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.