Zainb Hassan Al Khafajy

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Zainb verified their affiliation via an institutional email.

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• PhD in statstics
• Professor (Assistant) at University of Al-Qadisiyah

Nowadays, the study of fuzzy data has a leading position in the research offers. Estimating the regression function of such data is a challenge for many researchers. This paper presents a comparative study between the linear nonparametric regression Baysen formula and the local linear smooth to estimate the fuzzy nonparametric regression function....

Continuous Deep Beams (CDBs) are highly exposed to repeated loads especially at the bridges during vehicle loads and adding rubber into it support the ductility to overcome concrete brittleness. Six Beams were designed in considering the strut tie method (STM) and tested under monotonic and repeated loads. Mathematical model for such problem has be...

Statistical data is sometimes obtained from uncertain resources or fuzzy phenomenon therefore the conventional statistical analysis becomes unable to interpret the result of these data. And addition it is difficult to find function form or probability distribution for this kind of data So, must be using appropriate analysis model achieved assumptio...

This paper presents a new technique to implement the Bayesian approach in estimating the fuzzy nonparametric regression function. The proposed technique is based on using the focused sampling approach to select the Bayesian variables. It also utilizes the reflected binary code (RBC), which is also known as the Cray code, to update the estimation al...

Nowadays, Bayesian analysis has found wide applications in many fields of research and practical areas. This paper presents a new approach in implementing the Bayesian approach on non-parametric estimation functions. It is based on the assumption that the parameters of any regression functions are represented by random variables. And the best estim...

Radhy et al / Utilizing the reflected binary code with a Bayesian cubic spline approach to estimate the fuzzy nonparametric regression function Abstract This paper presents a new technique to implement the Bayesian approach in estimating the fuzzy nonparametric regression function. The proposed technique is based on using the focused sampling appro...

In this paper, two different methods were used the solve the 2 nd fuzzy differential equation .there Picard's and rung-kutta methods the two methods were applied on MATLAB program to obtain comparative results .Both methods have shown numerical and graphical result which are close to the practical theorem (the exact solution) approximate solution w...

Considerations around environmental pollution and green energy usage have led to environmentally-friendly machines being used in many industrial applications. Permanent magnet (PM) machines are the best solution to substitute the pollutant diesel-powered machines. In such machines, rotor position detection is crucial for safe startup operating. Mea...

Linear multiple regression model is one of the prediction models whose parametric estimations could be achieved in different methods. Ordinary Least Square error (OLS) is most popular in this field of application. Although it could accurately achieve the estimation task, it fails in processing the multiple objective models. From other side of view,...

This work addressed the assignment problem (AP) based on fuzzy costs, where the objective, in this study, is to minimize the cost. A triangular, or trapezoidal, fuzzy numbers were assigned for each fuzzy cost. In addition, the assignment models were applied on linguistic variables which were initially converted to quantitative fuzzy data by using t...

Time series has a leading position in statistical Analysis. Nowadays, many economic and industrial operations have been built based on time series. These operations include predicting the product demand variation, the future product prices oscillation, the stock storing control etc. This paper presents a study to show the effect of transformation a...

The categorical data has a significant role in representing statistical binary variables, and they are analyzed by means of grouping the response variable into ordered categories. Thereby, the dependent variable becomes of type binary qualitative variable. The data related to the financial position of world countries is classified within the catego...

The δ-integral with respect-δ-fuzzy measure has significant practical applications such as economic, data mining, etc. In this paper, we define δ-fuzzy measure and studied the measurable function with respect to δ− fuzzy measure, also we defined an integration on a type of measurement, which is called the δ− integral because of its importance in ma...

Abstract: possibility measures as a set functioned : [0,1] where is -field. Possibility variable are measurable function of possibility SpaceX to set of real number, in this paper was called possibility measure as -measure and Possibility variable is -variable . In this paper we discuss the kind of convergence in -measure and study relations betwe...

Non-crystalline silicon has a leading position in many fields of electronic industrial applications. With this type of silicon material, localized states in the middle of the energy gap, play an important role in determining the wafer characteristic. Therefore, the region around the middle of the energy gap is regarded as the center of charge carri...

Abstract: possibility measures as a set functioned : [0,1] where is -field. Possibility variable are measurable function of possibility SpaceX to set of real number, in this paper was called possibility measure as -measure and Possibility variable is -variable . In this paper we discuss the kind of convergence in -measure and study relations betwee...

Abstract: possibility measures as a set functioned : [0,1] where is -field. Possibility variable are measurable function of possibility SpaceX to set of real number, in this paper was called possibility measure as -measure and Possibility variable is -variable . In this paper we discuss the kind of convergence in -measure and study relations betwee...

150µsec pluse generation G C m E Winding A/B Winding B/A Winding C Switching system 310 V VNB1 during forward VNAF1 during freewheel Winding A/C Winding C/A Win ding B VNB2 during forward VNAF2 during freewheel G C m E Switching system 150 µsec pluse generation 310V Winding B/C Winding C/B Winding A VNB3 during forward VNAF3 during freewheel G C m...

In this paper, the transport models were applied on a real data, which was drawn from a domestic company for food products. The company aims to market its product to four different geographic positions through three of its branches. Therefore, the company has suffered from the high cost of transporting and marketing its products. The company does n...

The Linear multiple regression model is one of the prediction models whose parametric estimations could be achieved in different methods. With the advent of modern technologies and modern information technologies and its impact on various aspects of life, using it as a tool to facilitate learning in all the courses, and in particular mathematics, i...

ABSTRACTThe Linear multiple regression model is one of the prediction models whose parametric estimations could be achieved in different methods. With the advent of modern technologies and modern information technologies and its impact on various aspects of life, using it as a tool to facilitate learning in all the courses, and in particular mathem...

The Linear multiple regression model is one of the prediction models whose parametric estimations could be achieved in different methods. With the advent of modern technologies and modern information technologies and its impact on various aspects of life, using it as a tool to facilitate learning in all the courses, and in particular mathematics, i...

Abstract: In this paper, two different methods were used the solve the 2nd fuzzy differential equation .there Picard’s and rung-kutta methods the two methods were applied on MATLAB program to obtain comparative results .Both methods have shown numerical and graphical result which are close to the practical theorem (the exact solution) approximate s...