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ORCIDMohammad Ghasem Akbari
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2020 – today
- 2024
[j52]Javad Zendehdel, Reza Zarei
, Mohammad Ghasem Akbari:
Maximum entropy based testing for fuzzy exponential random variable and its applications. Comput. Appl. Math. 43(8): 436 (2024)- 2023
- [j51]Gholamreza Hesamian, Mohammad Ghasem Akbari:
A fuzzy Bayesian regression model with Gaussian process prior based on exact predictors and fuzzy responses. Artif. Intell. Rev. 56(11): 13765-13785 (2023) - [j50]Gholamreza Hesamian, Mohammad Ghasem Akbari:
Support vector logistic regression model with exact predictors and fuzzy responses. J. Ambient Intell. Humaniz. Comput. 14(2): 817-828 (2023) - [i1]Hamed Vahdat-Nejad, Mohammad Ghasem Akbari, Fatemeh Salmani, Faezeh Azizi, Hamid Reza Nili Sani:
Russia-Ukraine war: Modeling and Clustering the Sentiments Trends of Various Countries. CoRR abs/2301.00604 (2023) - 2022
- [j49]Gholamreza Hesamian, Mohammad Ghasem Akbari:
A fuzzy quantile method for AR time series model based on triangular fuzzy random variables. Comput. Appl. Math. 41(3) (2022) - [j48]Mohammad Ghasem Akbari, Gholamreza Hesamian:
A fuzzy linear regression model with autoregressive fuzzy errors based on exact predictors and fuzzy responses. Comput. Appl. Math. 41(6) (2022) - [j47]Gholamreza Hesamian, Mohammad Ghasem Akbari:
A fuzzy empirical quantile-based regression model based on triangular fuzzy numbers. Comput. Appl. Math. 41(6) (2022) - [j46]Gholamreza Hesamian, Mohammad Ghasem Akbari:
Testing hypotheses for multivariate normal distribution with fuzzy random variables. Int. J. Syst. Sci. 53(1): 14-24 (2022) - [j45]Gholamreza Hesamian, Mohammad Ghasem Akbari:
Fuzzy cumulative entropy and its estimation based on fuzzy random variables. Int. J. Syst. Sci. 53(5): 982-991 (2022) - [j44]Gholamreza Hesamian, Mohammad Ghasem Akbari:
A fuzzy functional linear regression model with functional predictors and fuzzy responses. Soft Comput. 26(6): 3029-3043 (2022) - 2021
- [j43]Amir Hamzeh Khammar, Mohsen Arefi, Mohammad Ghasem Akbari:
Quantile Fuzzy Varying Coefficient Regression based on kernel function. Appl. Soft Comput. 107: 107313 (2021) - [j42]Gholamreza Hesamian, Mohammad Ghasem Akbari:
A non-parametric model for fuzzy forecasting time series data. Comput. Appl. Math. 40(4) (2021) - [j41]Masoumeh Asadolahi, Mohammad Ghasem Akbari, Gholamreza Hesamian, Mohsen Arefi:
A robust support vector regression with exact predictors and fuzzy responses. Int. J. Approx. Reason. 132: 206-225 (2021) - [j40]Gholamreza Hesamian, Mohammad Ghasem Akbari:
A robust multiple regression model based on fuzzy random variables. J. Comput. Appl. Math. 388: 113270 (2021) - [j39]Gholamreza Hesamian, Mohammad Ghasem Akbari:
A process capability index for normal random variable with intuitionistic fuzzy information. Oper. Res. 21(2): 951-964 (2021) - [j38]Amir Hamzeh Khammar, Mohsen Arefi, Mohammad Ghasem Akbari:
A general approach to fuzzy regression models based on different loss functions. Soft Comput. 25(2): 835-849 (2021) - [j37]Gholamreza Hesamian, Mohammad Ghasem Akbari:
A fuzzy nonlinear univariate regression model with exact predictors and fuzzy responses. Soft Comput. 25(4): 3247-3262 (2021) - 2020
- [j36]Gholamreza Hesamian, Mohammad Ghasem Akbari:
A fuzzy additive regression model with exact predictors and fuzzy responses. Appl. Soft Comput. 95: 106507 (2020) - [j35]Gholamreza Hesamian, Mohammad Ghasem Akbari:
An interval-valued fuzzy distance measure between two interval-valued fuzzy numbers. Comput. Appl. Math. 39(1) (2020) - [j34]Gholamreza Hesamian, Mohammad Ghasem Akbari, Javad Zendehdel:
Location and scale fuzzy random variables. Int. J. Syst. Sci. 51(2): 229-241 (2020) - [j33]Gholamreza Hesamian, Mohammad Ghasem Akbari:
A kriging method for fuzzy spatial data. Int. J. Syst. Sci. 51(11): 1945-1958 (2020) - [j32]Gholamreza Hesamian, Mohammad Ghasem Akbari, Mahdi Roozbeh:
Intuitionistic Fuzzy Partial Logistic Regression Model Using Ridge Methodology. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 28(4): 527-543 (2020) - [j31]Gholamreza Hesamian, Mohammad Ghasem Akbari:
A robust varying coefficient approach to fuzzy multiple regression model. J. Comput. Appl. Math. 371: 112704 (2020) - [j30]Gholamreza Hesamian, Mohammad Ghasem Akbari:
Fuzzy spline univariate regression with exact predictors and fuzzy responses. J. Comput. Appl. Math. 375: 112803 (2020) - [j29]Mahdi Roozbeh, Gholamreza Hesamian, Mohammad Ghasem Akbari:
Ridge estimation in semi-parametric regression models under the stochastic restriction and correlated elliptically contoured errors. J. Comput. Appl. Math. 378: 112940 (2020) - [j28]Gholamreza Hesamian, Mohammad Ghasem Akbari, Vahid Ranjbar:
Some inequalities and limit theorems for fuzzy random variables adopted with α-values of fuzzy numbers. Soft Comput. 24(5): 3797-3807 (2020) - [j27]Reza Zarei, Mohammad Ghasem Akbari, Jalal Chachi:
Modeling autoregressive fuzzy time series data based on semi-parametric methods. Soft Comput. 24(10): 7295-7304 (2020) - [j26]Mohammad Ghasem Akbari, Gholamreza Hesamian:
Time-dependent intuitionistic fuzzy system reliability analysis. Soft Comput. 24(19): 14441-14448 (2020)
2010 – 2019
- 2019
- [j25]Gholamreza Hesamian, Mohammad Ghasem Akbari:
Principal component analysis based on intuitionistic fuzzy random variables. Comput. Appl. Math. 38(4) (2019) - [j24]Gholamreza Hesamian, Mohammad Ghasem Akbari:
Fuzzy Quantile Linear Regression Model Adopted with a Semi-Parametric Technique based on Fuzzy Predictors and Fuzzy Responses. Expert Syst. Appl. 118: 585-597 (2019) - [j23]Gholamreza Hesamian, Mohammad Ghasem Akbari:
Fuzzy Lasso regression model with exact explanatory variables and fuzzy responses. Int. J. Approx. Reason. 115: 290-300 (2019) - [j22]Gholamreza Hesamian, Mohammad Ghasem Akbari, Elham Ranjbar:
Exponentially Weighted Moving Average Control Chart Based on Normal Fuzzy Random Variables. Int. J. Fuzzy Syst. 21(4): 1187-1195 (2019) - [j21]Mohammad Ghasem Akbari, Gholamreza Hesamian:
A partial-robust-ridge-based regression model with fuzzy predictors-responses. J. Comput. Appl. Math. 351: 290-301 (2019) - [j20]Mohammad Ghasem Akbari, Gholamreza Hesamian:
Neyman-Pearson lemma based on intuitionistic fuzzy parameters. Soft Comput. 23(14): 5905-5911 (2019) - [j19]Mohammad Ghasem Akbari, Gholamreza Hesamian:
Testing statistical hypotheses for intuitionistic fuzzy data. Soft Comput. 23(20): 10385-10392 (2019) - [j18]Gholamreza Hesamian, Mohammad Ghasem Akbari, Razieh Yaghoobpoor:
Quality Control Process Based on Fuzzy Random Variables. IEEE Trans. Fuzzy Syst. 27(4): 671-685 (2019) - [j17]Mohammad Ghasem Akbari, Gholamreza Hesamian:
Elastic Net Oriented to Fuzzy Semiparametric Regression Model With Fuzzy Explanatory Variables and Fuzzy Responses. IEEE Trans. Fuzzy Syst. 27(12): 2433-2442 (2019) - 2018
- [j16]Gholamreza Hesamian, Mohammad Ghasem Akbari:
Fuzzy absolute error distance measure based on a generalised difference operation. Int. J. Syst. Sci. 49(11): 2454-2462 (2018) - [j15]Javad Zendehdel, Majid Rezaei, Mohammad Ghasem Akbari, Reza Zarei, Hadi Alizadeh Noughabi:
Testing exponentiality for imprecise data and its application. Soft Comput. 22(10): 3301-3312 (2018) - [j14]Mohammad Ghasem Akbari, Gholamreza Hesamian:
Linear Model With Exact Inputs and Interval-Valued Fuzzy Outputs. IEEE Trans. Fuzzy Syst. 26(2): 518-530 (2018) - [j13]Gholamreza Hesamian, Mohammad Ghasem Akbari:
A Semiparametric Model for Time Series Based on Fuzzy Data. IEEE Trans. Fuzzy Syst. 26(5): 2953-2966 (2018) - [j12]Mohammad Ghasem Akbari, Gholamreza Hesamian:
Signed-Distance Measures Oriented to Rank Interval-Valued Fuzzy Numbers. IEEE Trans. Fuzzy Syst. 26(6): 3506-3513 (2018) - 2017
- [j11]Gholamreza Hesamian, Mohammad Ghasem Akbari:
Semi-parametric partially logistic regression model with exact inputs and intuitionistic fuzzy outputs. Appl. Soft Comput. 58: 517-526 (2017) - [j10]Gholamreza Hesamian, Mohammad Ghasem Akbari, M. Asadollahi:
Fuzzy semi-parametric partially linear model with fuzzy inputs and fuzzy outputs. Expert Syst. Appl. 71: 230-239 (2017) - [j9]Mohammad Ghasem Akbari, Gholamreza Hesamian:
Record value based on intuitionistic fuzzy random variables. Int. J. Syst. Sci. 48(15): 3305-3315 (2017) - [j8]Gholamreza Hesamian, Mohammad Ghasem Akbari:
A Preference Index for Ranking Closed Intervals and Fuzzy Numbers. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25(5): 741-758 (2017) - [j7]Gholamreza Hesamian, Mohammad Ghasem Akbari:
Nonparametric Kernel Estimation Based on Fuzzy Random Variables. IEEE Trans. Fuzzy Syst. 25(1): 84-99 (2017) - 2015
- [j6]Z. Zainali, Mohammad Ghasem Akbari, Hadi Alizadeh Noughabi:
Intuitionistic fuzzy random variable and testing hypothesis about its variance. Soft Comput. 19(9): 2681-2689 (2015) - 2014
- [j5]Faezeh Torkian, Mohsen Arefi, Mohammad Ghasem Akbari:
Multivariate Least Squares Regression using Interval-Valued Fuzzy Data and based on Extended Yao-Wu Signed Distance. Int. J. Comput. Intell. Syst. 7(1): 172-185 (2014) - [j4]Ali Reza Saeidi, Mohammad Ghasem Akbari, Mahdi Doostparast:
Hypotheses testing with the two-parameter Pareto distribution on the basis of records in fuzzy environment. Kybernetika 50(5): 744-757 (2014) - 2013
- [j3]Mohammad Ghasem Akbari, Mohsen Arefi:
Statistical nonparametric test based on the intuitionistic fuzzy data. J. Intell. Fuzzy Syst. 25(3): 525-534 (2013) - 2012
- [j2]Reza Zarei, Mohammad Amini, A. H. Rezaei Roknabadi, Mohammad Ghasem Akbari:
Some fuzzy stochastic orderings for fuzzy random variables. Fuzzy Optim. Decis. Mak. 11(2): 209-225 (2012) - 2010
- [j1]Mohammad Ghasem Akbari, Abdolhamid Rezaei:
Bootstrap testing fuzzy hypotheses and observations on fuzzy statistic. Expert Syst. Appl. 37(8): 5782-5787 (2010)
Coauthor Index
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