1 |
Kim, B. and Bishu, R. R. (1998). Evaluation of fuzzy linear regression models by comparing membership functions, Fuzzy Sets and Systems, 100, 343-352
DOI
ScienceOn
|
2 |
Kim, H. K., Yoon, J. H. and Li, Y. (2008). Asymptotic properties of least squares estimation with fuzzy observations, Information Sciences: An International Journal, 178, 439-451
DOI
ScienceOn
|
3 |
Kim, K. J. and Chen, H. R. (1997). A comparison of fuzzy and nonparametric linear regression, Computers & Operations Research, 24, 505-519
DOI
ScienceOn
|
4 |
Nasrabadi, M. M. and Nasrabadi, E. (2004). A mathematical programming approach to fuzzy linear re-gression analysis, Applied Mathematical and Computation, 155, 873-881
DOI
ScienceOn
|
5 |
Tanaka, H., Hayashi, I. and Watada, J. (1989). Possibilistic linear regression analysis for fuzzy data, Euro-pean Journal of Operational Research, 40, 389-396
DOI
ScienceOn
|
6 |
Tanaka, H., Uejima, S. and Asai, K. (1980). Fuzzy linear regression model, International Congress Applied Systems and Cybernetics, 4, 2933-2938
|
7 |
Tanaka, H., Uejima, S. and Asai, K. (1982). Linear regression analysis with fuzzy model, IEEE Transaction on Systems, Man, and Cybernetics, 12, 903-907
DOI
ScienceOn
|
8 |
Wang, N., Zhang, W. and Mei, C. (2007). Fuzzy nonparametric regression based on local linear smoothing technique, Information Sciences, 177, 3882-3900
DOI
ScienceOn
|
9 |
Zadeh, L. A. (1965). Fuzzy sets, Information and Control, 8, 338-353
DOI
|
10 |
Agee, W. S. and Turner, R. H. (1979). Application of robust regression to trajectory data reduction, In Robustness in Statistics, Academic Press
|
11 |
Choi, S. H. (2007). Seperate fuzzy regression with fuzzy input and output, The Korean Communication in Statistics, 14, 183-193
DOI
ScienceOn
|
12 |
Diamond, P. (1988). Fuzzy least squares, Information Sciences, 46, 141-157
DOI
ScienceOn
|
13 |
Dietz, E. J. (1989) Teaching regression in a nonparametric statistics course, The American Statistician, 43, 35-40
DOI
ScienceOn
|
14 |
Hussain, S. S. and Sprent, P. (1983). Non-parametric regression, Journal of the Royal Statistical Society, Series A, 146, 182-191
DOI
ScienceOn
|
15 |
Iman, R. L. and Conover, W. J. (1979). The use of the rank transform in regression, Technometrics, 21, 499-509
DOI
ScienceOn
|
16 |
Kao, C. and Chyu, C. (2003). Least Squares estimates in fuzzy regression analysis, European Journal of Operational Research, 148, 426-435
DOI
ScienceOn
|
17 |
Kao, C. and Lin, P. (2005). Entropy for fuzzy regression analysis, International Journal of System Science, 36, 869-876
DOI
ScienceOn
|