۱ | Quantile Fuzzy Varying Coefficient Regression based on kernel function | محسن عارفی,امیرحمزه خمر,محمد قاسم اکبری | Applied Soft Computing | 2021 |
۲ | Interval Estimations for the Mean of the Generalized Poisson and Generalized Negative Binomial Distributions | Mohsen Arefi,Mohtashami Borzadaran GolamReza,Yadollah Waghei | Communications in Statistics Part B: Simulation and Computation | 2016 |
۳ | Least-Squares Regression Based on Atanassov s Intuitionistic Fuzzy Inputs-Outputs and Atanassov s Intuitionistic Fuzzy Parameters | Mohsen Arefi,Taheri S. Mahmoud | IEEE Transactions on Fuzzy Systems | 2015 |
۴ | Multivariate least squares regression using interval-valued fuzzy data and based on extended Yao-Wu signed distance | Mohammad Ghasem Akbari,Mohsen Arefi | International Journal of Computational Intelligence Systems | 2013 |
۵ | A new approach for testing fuzzy hypotheses based on fuzzy data | Mohsen Arefi,Taheri S.M. | International Journal of Computational Intelligence Systems | 2013 |
۶ | Generalized Likelihood Ratio Test for Fuzzy Hypotheses Based on Fuzzy Data | Mohsen Arefi,Mohammad Ghasem Akbari | International Journal of Intelligent Technologies and Applied Statistics | 2017 |
۷ | A fuzzy-based approach to testing statistical hypotheses | Mohsen Arefi,Taheri S.M. | International Journal of Intelligent Technologies and Applied Statistics | 2011 |
۸ | Possibilistic Bayesian inference based on fuzzy data | Mohsen Arefi,Taheri S. Mahmoud | International Journal of Machine Learning and Cybernetics | 2016 |
۹ | Weighted similarity measure on interval-valued fuzzy sets and its application to pattern recognition | Mohsen Arefi,Taheri S. Mahmoud | Iranian Journal of Fuzzy Systems | 2014 |
۱۰ | TESTING STATISTICAL HYPOTHESES UNDER FUZZY DATA AND BASED ON A NEW SIGNED DISTANCE | Mohsen Arefi | Iranian Journal of Fuzzy Systems | 2018 |
۱۱ | A robust least squares fuzzy regression model based on kernel function | Mohsen Arefi,Mohammad Ghasem Akbari | Iranian Journal of Fuzzy Systems | 2020 |
۱۲ | Clustering regression based on interval-valued fuzzy outputs and interval-valued fuzzy parameters | Mohsen Arefi | Journal of Intelligent and Fuzzy Systems | 2016 |
۱۳ | A weighted goal programming approach to estimate the linear regression model in full quasi type-2 fuzzy environment | Mohsen Arefi,Hassan Hassanpour | Journal of Intelligent and Fuzzy Systems | 2016 |
۱۴ | Statistical nonparametric test based on the intuitionistic fuzzy data | Mohsen Arefi,Mohammad Ghasem Akbari | Journal of Intelligent and Fuzzy Systems | 2012 |
۱۵ | Testing fuzzy hypotheses using fuzzy data based on fuzzy test statistic | 1 | Journal of Uncertain Systems | 2011 |
۱۶ | Fuzzy density estimation | Mohsen Arefi,Viertl R.,Taheri S.M. | Metrika | 2012 |
۱۷ | Nonlinear prediction of fuzzy regression model based on quantile loss function | Mohsen Arefi | Soft Computing | 2024 |
۱۸ | A general approach to fuzzy regression models based on different loss functions | Mohsen Arefi,Mohammad Ghasem Akbari | Soft Computing | 2021 |
۱۹ | A weighted goal programming approach to fuzzy linear regression with crisp inputs and type-2 fuzzy outputs | Hassan Hassanpour,Mohsen Arefi | Soft Computing | 2015 |
۲۰ | A possibilistic analogue to Bayes estimation with fuzzy data and its application in machine learning | Mohsen Arefi,, | Soft Computing | 2022 |