Fuzzy Sets and Systems
Information Sciences: an International Journal
Evaluation of fuzzy linear regression models
Fuzzy Sets and Systems
Fuzzy regression analysis using neural networks
Fuzzy Sets and Systems
On cluster-wise fuzzy regression analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy nonparametric regression based on local linear smoothing technique
Information Sciences: an International Journal
Information Sciences: an International Journal
Fuzzy regression models using the least-squares method based on the concept of distance
IEEE Transactions on Fuzzy Systems
A fuzzy support vector regression model for business cycle predictions
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Claim reserving with fuzzy regression and the two ways of ANOVA
Applied Soft Computing
Information Sciences: an International Journal
A two-stage approach for formulating fuzzy regression models
Knowledge-Based Systems
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Recently, fuzzy regression analysis has been largely applied in the modeling of economic or financial data. However, those data often exhibit certain kinds of linguistic terms, for instance: very good, a little reclining or stable, in the business cycle or the growth rate of GDP, etc. The goal of this paper is to construct a fuzzy regression model by fuzzy parameters estimation using the fuzzy samples. It deals with imprecise measurement of observed variables, fuzzy least square estimation and nonparametric methods. This is different from the assumptions as well as the estimation techniques of the classical analysis. Empirical results demonstrate that our new approach is efficient and more realistic than the traditional regression analysis.