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Gholamreza Hesamian
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2020 – today
- 2024
- [j57]Gholamreza Hesamian, Faezeh Torkian, Arne Johannssen, Nataliya Chukhrova:
A learning system-based soft multiple linear regression model. Intell. Syst. Appl. 22: 200378 (2024) - [j56]Gholamreza Hesamian
, Faezeh Torkian, Arne Johannssen
, Nataliya Chukhrova:
A fuzzy nonparametric regression model based on an extended center and range method. J. Comput. Appl. Math. 436: 115377 (2024) - [j55]Gholamreza Hesamian, Arne Johannssen
, Nataliya Chukhrova:
An explainable fused lasso regression model for handling high-dimensional fuzzy data. J. Comput. Appl. Math. 441: 115721 (2024) - [j54]Gholamreza Hesamian
, Arne Johannssen
, Nataliya Chukhrova
:
Fuzzy Nonlinear Regression Modeling With Radial Basis Function Networks. IEEE Trans. Fuzzy Syst. 32(4): 1733-1742 (2024) - 2023
- [j53]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) - [j52]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) - [j51]Gholamreza Hesamian, Nataliya Chukhrova, Arne Johannssen
:
Statistical inference on quantiles of two independent populations under uncertainty. Soft Comput. 27(23): 17573-17583 (2023) - 2022
- [j50]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) - [j49]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) - [j48]Gholamreza Hesamian
, Mohammad Ghasem Akbari
:
A fuzzy empirical quantile-based regression model based on triangular fuzzy numbers. Comput. Appl. Math. 41(6) (2022) - [j47]Gholamreza Hesamian, Mohammad Ghasem Akbari:
Testing hypotheses for multivariate normal distribution with fuzzy random variables. Int. J. Syst. Sci. 53(1): 14-24 (2022) - [j46]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) - [j45]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
- [j44]Gholamreza Hesamian
, Mohammad Ghasem Akbari
:
A non-parametric model for fuzzy forecasting time series data. Comput. Appl. Math. 40(4) (2021) - [j43]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) - [j42]Gholamreza Hesamian, Mohammad Ghasem Akbari
:
A robust multiple regression model based on fuzzy random variables. J. Comput. Appl. Math. 388: 113270 (2021) - [j41]Gholamreza Hesamian, Ali Dehghani:
A preference degree for ranking k-dimensional vectors of qualitative labels and its application in multi-attribute group decision-making. J. Exp. Theor. Artif. Intell. 33(6): 933-944 (2021) - [j40]Gholamreza Hesamian, Mohammad Ghasem Akbari
:
A process capability index for normal random variable with intuitionistic fuzzy information. Oper. Res. 21(2): 951-964 (2021) - [j39]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
- [j38]Gholamreza Hesamian
, Mohammad Ghasem Akbari
:
A fuzzy additive regression model with exact predictors and fuzzy responses. Appl. Soft Comput. 95: 106507 (2020) - [j37]Gholamreza Hesamian
, Mohammad Ghasem Akbari
:
An interval-valued fuzzy distance measure between two interval-valued fuzzy numbers. Comput. Appl. Math. 39(1) (2020) - [j36]Gholamreza Hesamian, Mohammad Ghasem Akbari
, Javad Zendehdel:
Location and scale fuzzy random variables. Int. J. Syst. Sci. 51(2): 229-241 (2020) - [j35]Gholamreza Hesamian, Mohammad Ghasem Akbari
:
A kriging method for fuzzy spatial data. Int. J. Syst. Sci. 51(11): 1945-1958 (2020) - [j34]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) - [j33]Gholamreza Hesamian
, Mohammad Ghasem Akbari
:
A robust varying coefficient approach to fuzzy multiple regression model. J. Comput. Appl. Math. 371: 112704 (2020) - [j32]Gholamreza Hesamian
, Mohammad Ghasem Akbari
:
Fuzzy spline univariate regression with exact predictors and fuzzy responses. J. Comput. Appl. Math. 375: 112803 (2020) - [j31]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) - [j30]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) - [j29]Mohammad Ghasem Akbari
, Gholamreza Hesamian:
Time-dependent intuitionistic fuzzy system reliability analysis. Soft Comput. 24(19): 14441-14448 (2020)
2010 – 2019
- 2019
- [j28]Gholamreza Hesamian
, Mohammad Ghasem Akbari
:
Principal component analysis based on intuitionistic fuzzy random variables. Comput. Appl. Math. 38(4) (2019) - [j27]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) - [j26]Gholamreza Hesamian, Mohammad Ghasem Akbari
:
Fuzzy Lasso regression model with exact explanatory variables and fuzzy responses. Int. J. Approx. Reason. 115: 290-300 (2019) - [j25]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) - [j24]Mohammad Ghasem Akbari
, Gholamreza Hesamian
:
A partial-robust-ridge-based regression model with fuzzy predictors-responses. J. Comput. Appl. Math. 351: 290-301 (2019) - [j23]Mohammad Ghasem Akbari
, Gholamreza Hesamian:
Neyman-Pearson lemma based on intuitionistic fuzzy parameters. Soft Comput. 23(14): 5905-5911 (2019) - [j22]Mohammad Ghasem Akbari
, Gholamreza Hesamian:
Testing statistical hypotheses for intuitionistic fuzzy data. Soft Comput. 23(20): 10385-10392 (2019) - [j21]Fereshteh Momeni
, Bahram Sadeghpour Gildeh
, Gholamreza Hesamian:
Fuzzy nonparametric estimation of capability index Cpk. Soft Comput. 23(20): 10485-10494 (2019) - [j20]Gholamreza Hesamian
, Mohammad Ghasem Akbari
, Razieh Yaghoobpoor:
Quality Control Process Based on Fuzzy Random Variables. IEEE Trans. Fuzzy Syst. 27(4): 671-685 (2019) - [j19]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
- [j18]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) - [j17]Mohammad Ghasem Akbari
, Gholamreza Hesamian
:
Linear Model With Exact Inputs and Interval-Valued Fuzzy Outputs. IEEE Trans. Fuzzy Syst. 26(2): 518-530 (2018) - [j16]Gholamreza Hesamian
, Mohammad Ghasem Akbari
:
A Semiparametric Model for Time Series Based on Fuzzy Data. IEEE Trans. Fuzzy Syst. 26(5): 2953-2966 (2018) - [j15]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
- [j14]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) - [j13]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) - [j12]S. Mahmoud Taheri, Gholamreza Hesamian:
Non-parametric Statistical Tests for Fuzzy Observations: Fuzzy Test Statistic Approach. Int. J. Fuzzy Log. Intell. Syst. 17(3): 145-153 (2017) - [j11]Gholamreza Hesamian, Mehdi Shams
:
A Note on Fuzzy Probability of a Fuzzy Event. Int. J. Intell. Syst. 32(7): 676-685 (2017) - [j10]Mohammad Ghasem Akbari
, Gholamreza Hesamian:
Record value based on intuitionistic fuzzy random variables. Int. J. Syst. Sci. 48(15): 3305-3315 (2017) - [j9]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) - [j8]Gholamreza Hesamian, Mohammad Ghasem Akbari
:
Nonparametric Kernel Estimation Based on Fuzzy Random Variables. IEEE Trans. Fuzzy Syst. 25(1): 84-99 (2017) - [j7]Gholamreza Hesamian:
Measuring Similarity and Ordering Based on Interval Type-2 Fuzzy Numbers. IEEE Trans. Fuzzy Syst. 25(4): 788-798 (2017) - 2016
- [j6]Gholamreza Hesamian:
One-way ANOVA based on interval information. Int. J. Syst. Sci. 47(11): 2682-2690 (2016) - [j5]Gholamreza Hesamian, Mehdi Shams
:
Parametric testing statistical hypotheses for fuzzy random variables. Soft Comput. 20(4): 1537-1548 (2016) - 2015
- [j4]Gholamreza Hesamian, Mehdi Shams
:
Measuring Similarity and Ordering based on Hesitant Fuzzy Linguistic Term Sets. J. Intell. Fuzzy Syst. 28(2): 983-990 (2015) - 2014
- [j3]Gholamreza Hesamian, Jalal Chachi
:
Fuzzy Sign test for imprecise quantities: A p-value approach. J. Intell. Fuzzy Syst. 27(6): 3159-3167 (2014) - 2013
- [j2]Gholamreza Hesamian, Seyed Mahmood Taheri:
Fuzzy empirical distribution function: properties and applications. Kybernetika 49(6): 962-982 (2013) - 2012
- [c1]Gholamreza Hesamian, Seyed Mahmood Taheri:
Credibility Theory Oriented Sign Test for Imprecise Observations and Imprecise Hypotheses. SMPS 2012: 153-163 - 2011
- [j1]S.-M. Taheri, Gholamreza Hesamian:
Goodman-Kruskal Measure of Association for Fuzzy-Categorized Variables. Kybernetika 47(1): 110-122 (2011)
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last updated on 2024-08-13 20:42 CEST by the dblp team
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