scholarly journals Grey Correlation Analysis on Travel Modes and their Influence Factors

2017 ◽  
Vol 174 ◽  
pp. 347-352 ◽  
Author(s):  
Shanshan Fang ◽  
Xinsheng Yao ◽  
Junqi Zhang ◽  
Meng Han
2013 ◽  
Vol 438-439 ◽  
pp. 1782-1785
Author(s):  
Wei Ran Wang ◽  
Yun Xiu Sai ◽  
Xing Fang

The accuracy of land value directly affects the size of the project development profit in real estate development project, more will be related to the project success and failure. According to the characteristics of the real estate development, land prices in the mature real estate, on the basis of influence factors, the grey correlation analysis model is set up by using the value of developed successful plot, to estimate the land value, and combined with examples to provide a reference for scientific decision-making to real estate developers.


2014 ◽  
Vol 584-586 ◽  
pp. 2700-2704
Author(s):  
Qi Guo ◽  
Kai Li ◽  
Zhi Ding Chen

Collusion behaviors in the market are divided into three types: rotation, price alliance and compensation bid. Constructing AHP-Fuzzy model evaluates bidders’ parallel string behaviors. It is judged with the aid of grey correlation analysis and fuzzy comprehensive evaluation. Price correlation, price rationality and the annual output value rate of the total assets are taken as influence factors of comprehensive evaluation. Finally, an example proves the correctness and effectiveness of the model.


2008 ◽  
Vol 400-402 ◽  
pp. 471-476
Author(s):  
Jian Xin Liu ◽  
Ben Liang Liang

Concrete structures durability is affected by a number of factors which have different sensitivity. According to level of sensitivity classified the influence factors could promote concrete structures durability design. The disadvantage of traditional methods of sensitivity analysis in concrete structures durability is the larger number of samples. The grey correlation theory was used to analyze the degree of the sensitivity of the influence factors and comparison with traditional methods of calculation. The results show that the grey correlation analysis method could quantify the levels of the sensitive factors and with higher reliability. A new way to study the durability of concrete structures was provided.


2016 ◽  
Vol 6 (2) ◽  
pp. 259-269 ◽  
Author(s):  
Jiajia Chen ◽  
Rong Zhang ◽  
Bin Liu

Purpose – The purpose of this paper is to find the key influence factors of executive compensation within China ports and listed shipping companies and provide some reasonable suggestions. Eventually, help to perfect the executive compensation evaluation mechanism against the background of new area. Design/methodology/approach – Grey correlation analysis is an important part of grey system theory. Professor Liu Sifeng further studies the relationship between two sequences absolute increment on the basis of Deng’s degree and put forward the “Grey absolute correlation degree,” which is widely used in practice. In the study, on the basis of the area of the line between sequences size, it measures the correlation degrees of firm performance, executive stock holding, continuous growth capacity and other relevant factors of executive payment in China ports and listed shipping companies. Findings – The paper concludes that the main factors influence CEO salary in China ports and listed shipping companies are return on equity and growth rate of fixed assets. However, the authors consider the frequent occurrence of executives’ corruption in China listed state-owned enterprise under the environment of financial and economic crisis, the authors argue that the significant influence of net assets attributed to shareholders cannot be ignored. In addition, cash flow in operating activities and executive stock holding both have relatively important effect on executive compensation. Research limitations/implications – This paper still has some limitations. First, it merely takes into account the financial indicators and ignores the influence of non-financial indicators to the performance evaluation of listed companies, such as: innovation ability, human capital and goodwill. Second, it has not considered the power consumption and other types of “invisible income” in the executive compensation structure, neither the influence of investing and financing activities on corporate performance. Consequently, these are likely to cause a certain deviation to the results of the study. Practical implications – The outcome obtained in this paper can be provided for China ports and listed shipping companies to establish a reasonable executive compensation evaluation and incentive mechanism under the background of depressed shipping market. Social implications – This paper intends to use correlation analysis between firm performance, executive stock holding, sustainability and executive compensation in the new area of time, tries to make a greater contribution to the major component of salary policy and then make some suggestions on incentive supervising and restraining mechanisms for the ports and listed shipping firms in China. Originality/value – Although scholars have done many studies about the association analysis of executive compensation and firm performance, they neglect the economic environment of industry. Meanwhile, considering the non-financial indicators and incomplete information, this paper studies the grey correlation analysis of executive compensation and influence factors in China ports and listed shipping firms under the background of the Chinese flagging shipping industry.


2014 ◽  
Vol 631-632 ◽  
pp. 250-253
Author(s):  
Ying Wei

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.


2013 ◽  
Vol 448-453 ◽  
pp. 2158-2162 ◽  
Author(s):  
Hong Jing Zhang ◽  
Feng Wang ◽  
Zhen Kun Tian

China's electricity imports and its influence factors of ten years were analyzed. On this basis, the electricity imports and the influence factors of grey correlation were calculated by using grey correlation analysis method. It makes a conclusion that every influence factors effect on electricity imports, and establishes a grey model GM (1, n) of electricity imports as well as its influence factors and determines the quantitative relationship between the selected influence factors and electricity imported. The model has high accuracy, and meets the practical requirements, so that it makes a better load forecasting for our country and provides a theoretical basis for taking some electricity import measures.


2010 ◽  
Vol 97-101 ◽  
pp. 2485-2488 ◽  
Author(s):  
Sheng Wen Zhang ◽  
T.X. Lan ◽  
Xi Feng Fang ◽  
W. Jia ◽  
C.Q. Yang

Tool selection is the important content of CAPP, and a great many influence factors and selection principles must be considered during tool selection. For the unreasonable phenomenon during tool selection and usage in present manufacturing enterprise, first the rule reasoning and fuzzy theory method are used to select proper tool set according to the processing conditions, then grey correlation analysis method is used to calculate the weight value of each tool and compare superiority of the these tools, and the best tool in existing conditions is obtained. Grey theory is used in tool selection to work out the problem of insufficient and incomplete information in the process of tool selection, and the cumbersome factors are simplified, the accuracy and efficiency of tools selection are improved. The research result has all-right reference meaning to other decision-making systems.


2013 ◽  
Vol 671-674 ◽  
pp. 284-289
Author(s):  
Fei Zhang ◽  
Jing Cao ◽  
Hui Min Zhao

The number of test times and test effectiveness are dependent on the test approaches in sensitivity analysis of the slope stability. In the paper, considering the mechanical parameters and groundwater of rock and soil, the sensitivity analysis of the slope is researched by the uniform experimental design. Its results are analyzed through grey correlation analysis. It is shown that the change of groundwater level in the open-pit slope is the most sensitive in the open-pit slope.


2013 ◽  
Vol 641-642 ◽  
pp. 105-108
Author(s):  
Wen Shuang Geng

In order to determine the influence factors on daily water-injection rate of each well group, we collected actual production performance data of 65 well groups in eastern Nan 8 area, Daqing oilfield and statistically analyzed the dynamic and static parameters such as effective thickness, connected thickness, connected direction number, oil saturation, water cut and water cut rising velocity. Then we calculated the grey correlation degree between these 6 factors and daily water-injection rate by means of grey correlation analysis method. Results of the study show that, the major influence factors on daily water-injection rate are (from high degree to low degree) water cut rising velocity, oil saturation, water cut, connected direction number, effective thickness and connected thickness. This method can serve as guide for reasonable daily water-injection rate determination.


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