scholarly journals Teaching Evaluation Algorithm Based on Grey Relational Analysis

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xiaoying Zhang ◽  
Xiuying Yang ◽  
Jing Yang
Keyword(s):  
Correlation Analysis ◽  
Undergraduate Education ◽  
Reference Data ◽  
Influence Factor ◽  
Data Matrix ◽  
Data Sequence ◽  
Control Data ◽  
Grey Correlation ◽  
Grey Correlation Analysis

Grey correlation analysis uses grey correlations to describe the strength, magnitude, and order of relationships among factors. The data sequence of the drmined data is used as a reference data string, and the data sequence matrix of each influence factor is used as a control data matrix to calculate the correlation between the data sequence and the reference of each factor in the control data matrix. The basic idea of quantitatively measuring the correlation between each factor and the object is to determine the similarity between the reference data sequence and the shape of multiple comparison data sequences and to determine whether the connection is strong. It reflects the degree of correlation between curves. In this paper, we examine the problem of evaluating the quality of undergraduate education by multiple indicators and establish a comprehensive evaluation model of the quality of undergraduate education in the 13 prefecture level cities by using the grey correlation analysis. The correlation coefficient of each index was obtained by the grey correlation analysis, the correlation number of each index was analyzed and ranked, and finally the improvement of the number of “advanced teachers” and the education of 13 prefectures were reduced as much as possible.

Grey Correlation Analysis Method and its Application in the Field of Engineering

2014 ◽  
Vol 631-632 ◽  
pp. 250-253
Author(s):  
Ying Wei
Keyword(s):  
Correlation Analysis ◽  
Influence Factor ◽  
Influence Factors ◽  
Housing Price ◽  
Grey System Theory ◽  
Housing Construction ◽  
Analysis Method ◽  
Grey Correlation ◽  
Grey Correlation Analysis ◽  
Commercial Housing

Grey system theory has been applied widely in the fields of industry and engineering such as property industry. In this paper, we study the influence factors on the housing price of property industry, and present an influence factor analysis method based on the grey correlation analysis. Then this method is used to analyze the multiple influence factors on property industry such as GDP, population, the total amount of real estate investment, commercial housing construction area, completed commercial housing area, commercial housing sales area and urban per capita disposable income, then we conclude that the commercial housing sales area and commercial housing construction area are two main influence factors on housing price.

Application of grey correlation analysis for evaluating the artificial lake site in Pingtung Plain, Taiwan

2004 ◽  
Vol 31 (1) ◽  
pp. 56-64 ◽  
Author(s):  
Yi-Lung Yeh ◽  
Ting-Chien Chen
Keyword(s):  
Correlation Analysis ◽  
Groundwater Recharge ◽  
Correlation Method ◽  
Source Water ◽  
Artificial Lake ◽  
Grey Correlation ◽  
Pingtung Plain ◽  
Grey Correlation Analysis ◽  
Lake Site

The overuse of groundwater in coastal areas of Taiwan has caused serious land subsidence, seawater intrusion, and soil salinification. Artificial lakes are one of the alternatives that increase groundwater water resources. The Pingtung Plain is one of the most bountiful groundwater resource areas in Taiwan. The grey correlation method was used to evaluate the four optimal sites in the Pingtung Plain. Evaluations were based on hydraulic conductivity, the amount and quality of source water, the distance between the potential artificial lake site and the source water intake position, and the quantity and quality of gravel dug from the potential artificial lake site. Based on groundwater recharge and water storage, the grey correlation method showed that site D (Dar-Shiang-Yung) was the best choice.Key words: artificial lake, grey correlation analysis, groundwater recharge, Pingtung Plain.

Grey Correlation Analysis-Based Comprehensive Dynamic Characteristics Evaluation of NC Machine Tool

2012 ◽  
Vol 479-481 ◽  
pp. 1230-1236 ◽  
Author(s):  
Jian Min Zhu ◽  
Hai Wei Li ◽  
Zhi Wen Huang
Keyword(s):  
Correlation Analysis ◽  
Dynamic Characteristics ◽  
Machine Tools ◽  
Evaluation Method ◽  
Vibration Signal ◽  
Data Sequence ◽  
Grey Correlation ◽  
Nc Milling ◽  
Grey Correlation Analysis ◽  
Nc Machine

The dynamic characteristics of the NC machine are the important technical indicators of NC machine performance, and the precision of existing machine's dynamic characteristics evaluation analysis that based on structural dynamics modeling and simulation is poor. For this problem, this paper presents NC machine dynamic characteristics evaluation methods based on Grey Correlation Analysis. This method, by measuring the vibration signal of feature points in NC machine and making 1/3 octave spectrum analysis for vibration signal, can obtain the characteristics data sequence of vibration signal. Through the grey correlation analysis method, calculate the relevancy between the characteristics data sequence of each vibration signal and that of ideal dynamic characteristics, and quantitatively evaluate the dynamic characteristics of machine tools according to the size of the grey correlation. Took three same type NC milling machines as study objects, designed the cutting vibration resistance experiments, used this paper's method for the evaluation analysis of the comprehensive dynamic characteristics of NC milling machine, and obtained the evaluation results which is in line with the actual dynamic characteristics of machine tools, and verified the evaluation method of comprehensive dynamic characteristics that proposed in this paper.

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