scholarly journals Grey Correlation Analysis on the Economic Factors of Regional Logistics in Guangdong Province

2021 ◽  
Vol 275 ◽  
pp. 01060
Author(s):  
Weiguo Li ◽  
Xiaoying Zhong ◽  
Xiaorong Wu ◽  
Na Ye

Taking the regional logistics of Guangdong Province as the research object, this paper uses the relevant data of logistics and economy of Guangdong Province from 2015 to 2019, and applies the grey correlation analysis method to study the correlation degree between the relevant indicators of economic development of Guangdong Province and the development level of regional logistics. Through quantitative calculation, it clearly shows the relevant economic factors that have a greater impact on regional logistics, and provides good suggestions and Countermeasures for the healthy development of regional logistics.

2012 ◽  
Vol 174-177 ◽  
pp. 3343-3347
Author(s):  
Zuo Wei Zhong ◽  
Peng Xu ◽  
Xiao Long Kang

This paper proposes an improved evaluation model combining grey correlation analysis and AHP method that measures the safety performance of construction site. The safety assessment index system was established relating the actual condition of construction site. The weight of each assessment index was calculated through AHP model which use in grey correlation analysis for breaking through the limitations of conventional method. Then, the grey correlation degree was obtained through calculating the weighted means of grey correlation coefficient, and then, the rank of safety performance level of construction sites was determined. Through this improvement, the assessment results can be more scientific and functional. The effectiveness of our methodology was verified with an empirical study. The results show that this method can be an effective tool to predict the safety performance of construction projects sites, which is useful to reduce the occurrence of the construction safety misadventure.


2012 ◽  
Vol 6-7 ◽  
pp. 730-735
Author(s):  
Tao Wang ◽  
Zheng Tang

Combining ideal solving method and Euclidean distance, the article constructs a new course evaluation model based on grey correlation analysis method. First, idealizes and standardizes the quantitatively treated evaluation indicators, constructs positive and negative incidence matrix. Then, defines grey correlation distance degree, puts forward an evaluation way close to the optimal solution and far from the worst one. At last, introduces the actual use of model by combining a course evaluation, and tests its accuracy and feasibility.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheng Xu ◽  
Qingde Yue ◽  
Binbin Lu

PurposeThe implementation of the innovation-driven development strategy is of practical significance for improving the quality and efficiency of economic growth and accelerating the transformation of economic development mode. The purpose of this paper is to study the impact of innovation-driven strategies on marine industry agglomeration and industrial transformation.Design/methodology/approachIn traditional grey correlation analysis, when the positive and negative areas cancel each other out during the integration process, the calculation result of the correlation degree is often inconsistent with the qualitative analysis. For this reason, from the perspective of curve similarity, this paper constructs two response curves through the relative change area of the two curves and the relative area change ratio of similar degree, thus constructing an improved grey relational model.FindingsThe authors find that the innovation investment has a better correlation with marine industrial agglomeration. It also found that Guangdong Province has the highest degree of correlation between innovation indicators and marine industrial agglomeration. Much beyond the authors’ expectation, in the areas where marine industrial agglomeration is high, the synergistic effect is not obvious by using the location entropy method.Originality/valueThe improved grey correlation analysis method can effectively overcome the phenomenon that the positive and negative areas cancel each other in the integration process of the original algorithm, and it can also effectively measure the negative correlation between variables. This paper explores the impact of innovation drive on the agglomeration of marine industries, which is of great significance to the sustainable development of marine economy.


2014 ◽  
Vol 915-916 ◽  
pp. 1500-1503
Author(s):  
Qing Min Si ◽  
Hao Zhang ◽  
Jin Lin Wu ◽  
Jing Qi Yu ◽  
Jian Min Yi

The quantitative area risk assessment (QARA) are definitted based on the characteristics of the area risk assessment, and the model of the QARA are proposesed. Based on the accident consequences analysis method and the theory of grey correlation, it presents the risk correlation analysis method which is used to analysis the risk correlation value between the projects, and discusses the grading method of the risk correlation according to the smooth handling idea. The practical applying results show that the theory of risk correlation has a good practical in QARA.


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