Fuzzy data analysis by possibilistic linear models
Fuzzy Sets and Systems - Fuzzy Numbers
Information Sciences: an International Journal
Possibilistic linear systems and their application to the linear regression model
Fuzzy Sets and Systems
Evaluation of fuzzy linear regression models
Fuzzy Sets and Systems
Multiobjective fuzzy linear regression analysis for fuzzy input-output data
Fuzzy Sets and Systems
Fuzzy linear regression with fuzzy intervals
Fuzzy Sets and Systems
Properties of certain fuzzy linear regression methods
Fuzzy Sets and Systems
Information Sciences: an International Journal
Evaluation of fuzzy linear regression models by comparing membership functions
Fuzzy Sets and Systems
A linear regression model using triangular fuzzy number coefficients
Fuzzy Sets and Systems
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
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
Information Sciences: an International Journal
Fuzzy approach to semi-parametric of a sample selection model
WSEAS Transactions on Mathematics
Fuzzy semi-parametric sample selection model case study for participation of married women
WSEAS Transactions on Mathematics
An enhanced fuzzy linear regression model with more flexible spreads
Fuzzy Sets and Systems
Fuzzy Rank Linear Regression Model
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Solving Fuzzy Linear Regression with Hybrid Optimization
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Fuzzy regression models using the least-squares method based on the concept of distance
IEEE Transactions on Fuzzy Systems
General fuzzy regression using least squares method
International Journal of Systems Science
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - FUZZYSS’2009
Weighted fuzzy ridge regression analysis with crisp inputs and triangular fuzzy outputs
International Journal of Advanced Intelligence Paradigms
Fuzzy logistic regression based on the least squares approach with application in clinical studies
Computers & Mathematics with Applications
Fuzzy least-absolutes regression using shape preserving operations
Information Sciences: an International Journal
A two-stage approach for formulating fuzzy regression models
Knowledge-Based Systems
A comparative assessment of different fuzzy regression methods for volatility forecasting
Fuzzy Optimization and Decision Making
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Previous studies on fuzzy linear regression analysis have a common characteristic of increasing spreads for the estimated fuzzy responses as the independent variable increases its magnitude, which is not suitable for general cases. This paper proposes a two-stage approach to construct the fuzzy linear regression model. In the first stage, the fuzzy observations are defuzzified so that the traditional least-squares method can be applied to find a crisp regression line showing the general trend of the data. In the second stage, the error term of the fuzzy regression model, which represents the fuzziness of the data in a general sense, is determined to give the regression model the best explanatory power for the data. The results from two examples, one with crisp data and the other with fuzzy data for the independent variable, indicate that the two-stage method proposed in this paper has better performance than the previous studies.