Mohammad Ghasem Akbari
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View article: Autoregressive Modeling of Fuzzy Data Based on the Support Vector Machine
Autoregressive Modeling of Fuzzy Data Based on the Support Vector Machine Open
View article: A Fuzzy Multivariate Regression Model to Control Outliers and Multicollinearity Based on Exact Predictors and Fuzzy Responses
A Fuzzy Multivariate Regression Model to Control Outliers and Multicollinearity Based on Exact Predictors and Fuzzy Responses Open
View article: A Goodness-of-Fit Test Based on Fuzzy Random Variables
A Goodness-of-Fit Test Based on Fuzzy Random Variables Open
During the last decades, several methods have been proposed for Kolmogorov−Smirnov one-sample test based on fuzzy random variables to describe the impression of classical random variables. However, such techniques do not discuss the modeli…
View article: Russia-Ukraine war: Modeling and Clustering the Sentiments Trends of Various Countries
Russia-Ukraine war: Modeling and Clustering the Sentiments Trends of Various Countries Open
With Twitter's growth and popularity, a huge number of views are shared by users on various topics, making this platform a valuable information source on various political, social, and economic issues. This paper investigates English tweet…
View article: مدل بندی سری های زمانی ناپارامتری بر اساس داده های فازی
مدل بندی سری های زمانی ناپارامتری بر اساس داده های فازی Open
در این مقاله، یک مدل سری زمانی ناپارامتری بر اساس مشاهدات فازی ارائه شده و با استفاده از تعمیم روشنادارایا-واتسون در محیط فازی، برآورد مقادیرفازی پیش بینی شده بدست می آید. در این راستا الگوریتمی جهت دستیابی بهمرتبه اتورگرسیو و پهنای باند ب…
View article: A Fuzzy Linear Regression Model With Functional Predictors And Fuzzy Responses
A Fuzzy Linear Regression Model With Functional Predictors And Fuzzy Responses Open
A novel functional regression model was introduced, where the predictor was a curve linked to a scalar fuzzy response variable. An absolute error-based penalized method with SCAD loss function was proposed to evaluate the unknown component…
View article: SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL IMAGERY USING NEURAL NETWORK ALGORITHM AND HIERARCHICAL SEGMENTATION
SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL IMAGERY USING NEURAL NETWORK ALGORITHM AND HIERARCHICAL SEGMENTATION Open
This paper describes a new framework for classification of hyperspectral images, based on both spectral and spatial information. The spatial information is obtained by an enhanced Marker-based Hierarchical Segmentation (MHS) algorithm. The…
View article: Intuitionistic Fuzzy Probability of an Event
Intuitionistic Fuzzy Probability of an Event Open
This article extends a probability of an event based on a family of distribution functions with intuitionistic fuzzy parameters. To do so, a common method is developed from fuzzy environment into intuitionistic fuzzy environment to constru…
View article: A New Ontology-Based Approach for Human Activity Recognition from GPS Data
A New Ontology-Based Approach for Human Activity Recognition from GPS Data Open
Mobile technologies have deployed a variety of Internet–based services via location based services. The adoption of these services by users has led to mammoth amounts of trajectory data. To use these services effectively, analysis of these…
View article: Bootstrap Statistical Inference for the Variance Based on Fuzzy Data
Bootstrap Statistical Inference for the Variance Based on Fuzzy Data Open
The bootstrap is a simple and straightforward method for calculating approximated biases, standard deviations, confidence intervals, testing statistical hypotheses, and so forth, in almost any nonparametric estimation problem. In this pape…
View article: An Uniformly Minimum Variance Unbiased Point Estimator Using Fuzzy Observations
An Uniformly Minimum Variance Unbiased Point Estimator Using Fuzzy Observations Open
This paper proposes a new method for uniformly minimum variance unbiased fuzzy point estimation. For this purpose we make use of a uniformly minimum variance unbiased estimator and we develop this new method for a fuzzy random sample ~X1,.…