Fuzzy data analysis by possibilistic linear models
Fuzzy Sets and Systems - Fuzzy Numbers
Information Sciences: an International Journal
A practical approach to nonlinear fuzzy regression
SIAM Journal on Scientific and Statistical Computing
Characterization and detection of noise in clustering
Pattern Recognition Letters
Approximation of functional relationships to fuzzy observations
Fuzzy Sets and Systems
Properties of certain fuzzy linear regression methods
Fuzzy Sets and Systems
Exponential possibility regression analysis
Fuzzy Sets and Systems - Special issue on fuzzy information processing
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fuzzy least-squares linear regression analysis for fuzzy input-output data
Fuzzy Sets and Systems - Information processing
On cluster-wise fuzzy regression analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Expert Systems with Applications: An International Journal
Fuzzy nonparametric regression based on local linear smoothing technique
Information Sciences: an International Journal
Asymptotic properties of least squares estimation with fuzzy observations
Information Sciences: an International Journal
Reduction to least-squares estimates in multiple fuzzy regression analysis
IEEE Transactions on Fuzzy Systems
A fuzzy clustering neural network architecture for classification of ECG arrhythmias
Computers in Biology and Medicine
Estimating the functional relationships for quality function deployment under uncertainties
Fuzzy Sets and Systems
Combination forecasting of fuzzy forecast
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
General fuzzy regression using least squares method
International Journal of Systems Science
A fuzzy varying coefficient model and its estimation
Computers & Mathematics with Applications
Fuzzy linear regression-based detection of earnings management
Expert Systems with Applications: An International Journal
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Fuzzy regression analysis can be thought of as a fuzzy variation of classical regression analysis. It has been widely studied and applied in diverse areas. In general, the analysis of fuzzy regression models can be roughly divided into two categories. The first is based on Tanaka's linear-programming approach. The second category is based on the fuzzy least-squares approach. In this paper, new types of fuzzy least-squares algorithms with a noise cluster for interactive fuzzy linear regression models are proposed. These algorithms are robust for the estimation of fuzzy linear regression models, especially when outliers are present. Numerical examples are given to detail the effectiveness of this approach.