| A generalization of the Wilcoxon signed-rank test and its applications SM Taheri, G Hesamian Statistical Papers 54, 457-470, 2013 | 236 | 2013 |
| Measuring similarity and ordering based on hesitant fuzzy linguistic term sets G Hesamian, M Shams Journal of Intelligent & Fuzzy Systems 28 (2), 983-990, 2015 | 50 | 2015 |
| One-way ANOVA based on interval information G Hesamian International Journal of Systems Science 47 (11), 2682-2690, 2016 | 44 | 2016 |
| Two-sample Kolmogorov–Smirnov fuzzy test for fuzzy random variables G Hesamian, J Chachi Statistical Papers 56 (1), 61-82, 2015 | 43 | 2015 |
| Fuzzy semi-parametric partially linear model with fuzzy inputs and fuzzy outputs G Hesamian, MG Akbari, M Asadollahi Expert Systems with Applications 71, 230-239, 2017 | 41 | 2017 |
| Goodman-Kruskal measure of association for fuzzy-categorized variables SM Taheri, G Hesamian Kybernetika 47 (1), 110-122, 2011 | 39 | 2011 |
| Parametric testing statistical hypotheses for fuzzy random variables G Hesamian, M Shams Soft Computing 20 (4), 1537-1548, 2016 | 37 | 2016 |
| A robust varying coefficient approach to fuzzy multiple regression model G Hesamian, MG Akbari Journal of Computational and Applied Mathematics 371, 112704, 2020 | 34 | 2020 |
| Ridge estimation in semi-parametric regression models under the stochastic restriction and correlated elliptically contoured errors M Roozbeh, G Hesamian, MG Akbari Journal of Computational and Applied Mathematics 378, 112940, 2020 | 32 | 2020 |
| A partial-robust-ridge-based regression model with fuzzy predictors-responses MG Akbari, G Hesamian Journal of Computational and Applied Mathematics 351, 290-301, 2019 | 31 | 2019 |
| Quality control process based on fuzzy random variables G Hesamian, MG Akbari, R Yaghoobpoor IEEE Transactions on Fuzzy Systems 27 (4), 671-685, 2018 | 31 | 2018 |
| Elastic net oriented to fuzzy semiparametric regression model with fuzzy explanatory variables and fuzzy responses MG Akbari, G Hesamian IEEE Transactions on Fuzzy Systems 27 (12), 2433-2442, 2019 | 29 | 2019 |
| A robust multiple regression model based on fuzzy random variables G Hesamian, MG Akbari Journal of Computational and Applied Mathematics 388, 113270, 2021 | 28 | 2021 |
| A fuzzy additive regression model with exact predictors and fuzzy responses G Hesamian, MG Akbari Applied Soft Computing 95, 106507, 2020 | 28 | 2020 |
| Semi-parametric partially logistic regression model with exact inputs and intuitionistic fuzzy outputs G Hesamian, MG Akbari Applied Soft Computing 58, 517-526, 2017 | 27 | 2017 |
| Linear model with exact inputs and interval-valued fuzzy outputs MG Akbari, G Hesamian IEEE Transactions on Fuzzy Systems 26 (2), 518-530, 2017 | 25 | 2017 |
| Fuzzy empirical distribution function: properties and application G Hesamian, SM Taheri Kybernetika 49 (6), 962-982, 2013 | 24 | 2013 |
| Non-parametric statistical tests for fuzzy observations: fuzzy test statistic approach SM Taheri, G Hesamian International Journal of Fuzzy Logic and Intelligent Systems 17 (3), 145-153, 2017 | 23 | 2017 |
| 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 | 22 | 2021 |
| Fuzzy Lasso regression model with exact explanatory variables and fuzzy responses G Hesamian, MG Akbari International Journal of Approximate Reasoning 115, 290-300, 2019 | 22 | 2019 |
Mohammad Ghasem AkbariDepartment of Statistics, University of BirjandDirección de correo verificada de birjand.ac.ir
