A Grey Correlation Analysis Method Based on the Interval Deviation Degree

Author(s):  
Wu Shunxiang ◽  
Huang Yongjie ◽  
Lin Lihua
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.


2015 ◽  
Vol 8 (1) ◽  
pp. 253-256
Author(s):  
Li Jiqiang ◽  
Yuan Yingzhong ◽  
Niu Xiaofeng ◽  
Yang Jianhui ◽  
Ren Jing

Chunguang oilfield is a lithologic trap reservoir with edge water drive, whose horizontal well development effect is influenced by static factors and dynamic factors. In the process of production, the influences of static factors including reservoir physical properties and dynamic factors including working system, liquid production velocity on horizontal well development effects are different, and it is difficult to find main factor influencing horizontal well development effect with conventional single-factor analysis method. Combined with static and dynamic data of Chunguang oilfield, using multi-factor grey correlation analysis method, quantitative relationships between horizontal well development effect and different factors are systematically analyzed. Main factors influencing horizontal well development effect and dynamic influence laws between different factors and horizontal well development effect are clarified. Problems existed in the development process are known and it can provide the direction for future development and adjustment of Chunguang oilfield.


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.


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