Testing fuzzy hypotheses based on fuzzy test statistic SM Taheri, M Arefi Soft Computing 13, 617-625, 2009 | 113 | 2009 |
Fuzzy density estimation M Arefi, R Viertl, SM Taheri Metrika 75, 5-22, 2012 | 64 | 2012 |
Least-Squares Regression Based on Atanassov's Intuitionistic Fuzzy Inputs–Outputs and Atanassov's Intuitionistic Fuzzy Parameters M Arefi, SM Taheri IEEE transactions on fuzzy systems 23 (4), 1142-1154, 2014 | 36 | 2014 |
Quantile fuzzy regression based on fuzzy outputs and fuzzy parameters M Arefi Soft Computing 24 (1), 311-320, 2020 | 30 | 2020 |
A weighted goal programming approach to fuzzy linear regression with crisp inputs and type-2 fuzzy outputs E Hosseinzadeh, H Hassanpour, M Arefi Soft computing 19, 1143-1151, 2015 | 29 | 2015 |
A general approach to fuzzy regression models based on different loss functions AH Khammar, M Arefi, MG Akbari Soft Computing 25 (2), 835-849, 2021 | 23 | 2021 |
A robust least squares fuzzy regression model based on kernel function AH Khammar, M Arefi, MG Akbari Iranian Journal of Fuzzy Systems 17 (4), 105-119, 2020 | 21 | 2020 |
Weighted similarity measure on interval-valued fuzzy sets and its application to pattern recognition M Arefi, SM Taheri Iranian Journal of Fuzzy Systems 11 (5), 67-79, 2014 | 20 | 2014 |
A robust support vector regression with exact predictors and fuzzy responses M Asadolahi, MG Akbari, G Hesamian, M Arefi International Journal of Approximate Reasoning 132, 206-225, 2021 | 16 | 2021 |
A fuzzy-based approach to testing statistical hypotheses 引用本篇文獻時, 請提供DOI, 資訊, 並透過DOI, ... International Journal of Intelligent Technologies and Applied Statistics 4 …, 2011 | 13 | 2011 |
A new approach for testing fuzzy hypotheses based on fuzzy data M Arefi, SM Taheri International Journal of Computational Intelligence Systems 6 (2), 318-327, 2013 | 12 | 2013 |
Statistical nonparametric test based on the intuitionistic fuzzy data MG Akbari, M Arefi Journal of Intelligent & Fuzzy Systems 25 (3), 525-534, 2013 | 12 | 2013 |
Quantile fuzzy varying coefficient regression based on kernel function AH Khammar, M Arefi, MG Akbari Applied Soft Computing 107, 107313, 2021 | 11 | 2021 |
A new approach for testing fuzzy hypotheses based on likelihood ratio statistic S Yosefi, M Arefi, MG Akbari Statistical Papers 57 (3), 665-688, 2016 | 10 | 2016 |
Testing statistical hypotheses under fuzzy data and based on a new signed distance M Arefi Iranian Journal of Fuzzy Systems 15 (3), 153-176, 2018 | 8 | 2018 |
Possibilistic Bayesian inference based on fuzzy data M Arefi, SM Taheri International Journal of Machine Learning and Cybernetics 7, 753-763, 2016 | 7 | 2016 |
A note on interval estimation for the mean of inverse Gaussian distribution M Arefi, GRM Borzadaran, Y Vaghei SORT-Statistics and Operations Research Transactions 32 (1), 49-56, 2008 | 7 | 2008 |
Multivariate least squares regression using interval-valued fuzzy data and based on extended Yao-Wu signed distance F Torkian, M Arefi, MG Akbari International journal of computational intelligence systems 7 (1), 172-185, 2014 | 6 | 2014 |
A weighted goal programming approach to fuzzy linear regression with quasi type-2 fuzzy input-output data E Hosseinzadeh, H Hassanpour, M Arefi, M Aman TWMS Journal of Applied and Engineering Mathematics 6 (2), 193-212, 2016 | 5 | 2016 |
A weighted goal programming approach to estimate the linear regression model in full quasi type-2 fuzzy environment E Hosseinzadeh, H Hassanpour, M Arefi Journal of Intelligent & Fuzzy Systems 30 (3), 1319-1330, 2016 | 5 | 2016 |