Information Sciences: an International Journal
Fuzzy regression analysis using neural networks
Fuzzy Sets and Systems
A generalized fuzzy weighted least-squares regression
Fuzzy Sets and Systems
On a class of fuzzy c-numbers clustering procedures for fuzzy data
Fuzzy Sets and Systems
Evaluation of fuzzy linear regression models by comparing membership functions
Fuzzy Sets and Systems
A least-squares approach to fuzzy linear regression analysis
Computational Statistics & Data Analysis
Fuzzy regression model with fuzzy input and output data for manpower forecasting
Fuzzy Sets and Systems
Multidimensional least-squares fitting with a fuzzy model
Fuzzy Sets and Systems
Fuzzy regression wiht radial basis function network
Fuzzy Sets and Systems
Fuzzy least-squares linear regression analysis using shape preserving operations
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy least-squares linear regression analysis for fuzzy input-output data
Fuzzy Sets and Systems - Information processing
A fuzzy linear regression model with better explanatory power
Fuzzy Sets and Systems - Information processing
An "orderwise" polynomial regression procedure for fuzzy data
Fuzzy Sets and Systems
A new approach to fuzzy regression models with application to business cycle analysis
Fuzzy Sets and Systems
Fuzzy least-squares algorithms for interactive fuzzy linear regression models
Fuzzy Sets and Systems - Theme: Modeling and learning
Linear regression analysis for fuzzy/crisp input and fuzzy/crisp output data
Computational Statistics & Data Analysis
Support vector fuzzy regression machines
Fuzzy Sets and Systems - Theme: Learning and modeling
Extended fuzzy regression models using regularization method
Information Sciences—Informatics and Computer Science: An International Journal
Least squares estimation of a linear regression model with LR fuzzy response
Computational Statistics & Data Analysis
Extended support vector interval regression networks for interval input-output data
Information Sciences: an International Journal
Information Sciences: an International Journal
Applying adaptive prediction to sea-water quality measurements
Expert Systems with Applications: An International Journal
Reduction to least-squares estimates in multiple fuzzy regression analysis
IEEE Transactions on Fuzzy Systems
A revisited approach to linear fuzzy regression using trapezoidal fuzzy intervals
Information Sciences: an International Journal
A fuzzy varying coefficient model and its estimation
Computers & Mathematics with Applications
A class of fuzzy clusterwise regression models
Information Sciences: an International Journal
Weighted fuzzy ridge regression analysis with crisp inputs and triangular fuzzy outputs
International Journal of Advanced Intelligence Paradigms
Information Systems and e-Business Management
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In a great deal of literature on fuzzy regression analysis, most of research has focused on some predefined parametric forms of fuzzy regression relationships, especially on the fuzzy linear regression models. In many practical situations, it may be unrealistic to predetermine a fuzzy parametric regression relationship. In this paper, a fuzzy nonparametric model with crisp input and LR fuzzy output is considered and, based on the distance measure for fuzzy numbers suggested by Diamond [P. Diamond, Fuzzy least squares, Information Sciences 46 (1988) 141-157], the local linear smoothing technique in statistics with the cross-validation procedure for selecting the optimal value of the smoothing parameter is fuzzified to fit this model. Some simulation experiments are conducted to examine the performance of the proposed method and three real-world datasets are analyzed to illustrate the application of the proposed method. The results demonstrate that the proposed method works quite well not only in producing satisfactory estimate of the fuzzy regression function, but also in reducing the boundary effect significantly.