Chunna Zhao

Course Evaluation Method Based on Analytic Hierarchy Process

Analytic hierarchy process can be applied to course evaluation in this paper. The method determines the proportion of the different factors of the influence through constructing judging-matrix and calculates-back-to-one and dealing with the checkout of coherence. The method was applied to actual course assessment situation of Capital Normal University Information Engineering College. The results indicate that this method is highly efficient for solving real-world problems.

Fractional Personnel Losing Modeling Approach and Application

In this paper, a modeling approach is proposed for storm surge personnel lose based on fractional simulation block. A valid approximation method is introduced to realize fractional model. And fractional simulation block is based on the rational approximation. Combined with the characteristics of storm surge, personnel losing model is presented on the fractional simulation block. The accuracy and validity of the method is verified by the historical data of storm surge disaster. Index Terms—Fractional model, storm surge, personnel losing, simulation block

Application of Gray Relational Analysis for Course Evaluation

Curriculum evaluation is an important part of educational assessment. Gray relational analysis method can be applied to course evaluation in this paper. Grey correlation degree reflects the distance between a selected scheme and the ideal solution. The method was applied to actual course assessment situation of Capital Normal University Information Engineering College. The results indicate that this method is highly efficient for practical problems.

A new course assessment method

Curriculum evaluation is an important part of educational assessment. Course evaluation is an important way to check to determine the level of course. Course evaluation is necessary means to ensure the smooth implementation of curriculum construction. A new course assessment method is proposed in this paper. The method established a new kind of gray similarity degree by combining with grey correlation degree. The new similarity degree reflects the distance between a selected scheme and the ideal solution. Through the application to actual course assessment situation of Capital Normal University Information Engineering College, the results indicate that this study method is highly efficient for solving real-world problems.

Fractional Modeling Approach with Mittag-Leffler Functions for Linear Fractional-order System

A fractional order model method based on Mittag-Leffler Functions for education evaluation is proposed in this paper. Course evaluation is necessary means to ensure the improvement of course construction level. Firstly, analytical solution of linear fractional-order systems is promoted. Secondly, fractional order model of course evaluation is proposed. And fractional evaluation model is composed of fractional order and common coefficient. Finally, Model parameters can be determined by a large number of data and mathematical statistics method. The proposed model was applied to actual course evaluation work of Capital Normal University Information Engineering College. The practicability and effectiveness of the method have been validated.

Fractional Modeling Method of Cognition Process in Teaching Evaluation

Cognition process has been translated into other quantitative indicators in some assessment decision systems. In teaching evaluation system a fractional cognition process model is proposed in this paper. The fractional model is built on fractional calculus theory combining with classroom teaching features. The fractional coefficient is determined by the actual course information. Student self-parameter is decided by the actual situation potential of each individual student. The detailed descriptions are displayed through building block diagram. The objective quantitative description can be given in the fractional cognition process model. And the teaching quality assessments will be more objective and accurate based on the above quantitative description.

A Field Data Processing Approach Based on Grey Entropy

Traditional statistical data processing approach is based on the statistical regularity of the large number of samples. The confidence degree of the confidence interval denotes the occurrence probability of the estimated values in this interval. This approach needs to know the distribution regularity of samples. But in external environments, due to the complexity of objective environments, the data sample’s distribution regularity will not be determined, so the traditional statistical data processing approach will give an assumption about the sample distribution and the assumption will bring new error and reduce the reliability. The satisfactory results may be obtained by a small number of samples based on grey relative theory [1][2][3][4] . This paper proposes a new data processing approach based on grey entropy, from the view of the topology of the sample space and the distances between samples. The definitions of grey distance measure and grey entropy are given. The methods of removing gross error and parameter estimation based on the grey entropy definition are proposed in the paper. Finally, the simulation results show that this approach is feasible.