Evaluation Study of Grounding Grids Based on Gray Clustering

2013 ◽  
Vol 433-435 ◽  
pp. 550-554
Author(s):  
Jiang Xia Cui ◽  
Jing Yi Du
Keyword(s):  
High Reliability ◽  
Emergency Situation ◽  
Evaluation Study ◽  
Grey System Theory ◽  
Grey System ◽  
Safe Operation ◽  
Grounding Grid ◽  
Grey Clustering ◽  
Grounding Grids ◽  
The Relationship

Grounding grid is an important device which ensures the safe operation of substation. Its corrosion is influenced by various factors and the influence of these factors is varied. It is difficult to infer the relationship between the corrosion rate and its influencing factors, so this paper apply the grey clustering method of grey system theory in the grounding grid corrosion and gives an application instance and realizes it by MATLAB. The results demonstrate the practicality and effectiveness of the method mentioned in this paper. This method can provide reference for high reliability for related departments in the implementation of emergency situation due to grounding grid corrosion.

scholarly journals Explanation of terms of grey clustering evaluation models

2017 ◽  
Vol 7 (1) ◽  
pp. 129-135 ◽  
Author(s):  
Sifeng Liu ◽  
Yingjie Yang
Keyword(s):  
System Theory ◽  
Design Methodology ◽  
Grey System Theory ◽  
Grey System ◽  
Content Type ◽  
Grey Clustering ◽  
Evaluation Models ◽  
Key Terms ◽  
Practical Implications

Purpose The purpose of this paper is to present the terms of grey clustering evaluation models. Design/methodology/approach The definitions of basic terms about grey clustering evaluation models are presented one by one. Findings The reader could know the basic explanation about the important terms about various grey clustering evaluation models from this paper. Practical implications Many of the authors’ colleagues thought that unified definitions of key terms would be beneficial for both the readers and the authors. Originality/value It is a fundamental work to standardise all the definitions of terms for a new discipline. It is also propitious to spread and universal of grey system theory.

Study on the Relationship between Soil Nutrients and the Corn Yield Based on Grey System Theory

2015 ◽  
Vol 733 ◽  
pp. 391-394
Author(s):  
Xing Mei Xu ◽  
Li Ying Cao ◽  
Jing Zhou
Keyword(s):  
System Theory ◽  
Soil Nutrient ◽  
Nutrient Content ◽  
Grey System Theory ◽  
Available Phosphorus ◽  
Corn Yield ◽  
Grey System ◽  
Correlation Degree ◽  
Soil Nutrient Content ◽  
The Relationship

Take the test zone 110 sampling plots of soil nutrient content as the research data, to study the correlation between the soil nutrient content and the corn yield. It used the grey system theory to analysis the correlation between the content of soil nutrient, and established GM (1, N) prediction model. Soil nutrient correlation degree analysis showed that the correlation coefficient of available phosphorus and available potassium were 0.4742, 0.4492, it has a significant effect on the corn yield, the average prediction error of the GM (1, N) model was 7.38%. The model reflected the relationship between soil nutrient content and the corn yield well; it can be used to predict the yield test area.

Evaluation and Prediction of Dynamic Moisture Comfort Property of Fine Denier Fiber Fabric

2010 ◽  
Vol 160-162 ◽  
pp. 866-871
Author(s):  
Kai Yang ◽  
Ming Li Jiao ◽  
Wei Yuan Zhang
Keyword(s):  
Prediction Models ◽  
Grey System Theory ◽  
Grey System ◽  
Hydrophobic Property ◽  
Comprehensive Index ◽  
Comfort Property ◽  
Series Of Experiments ◽  
Time Changes ◽  
The Relationship ◽  
Fiber Fabric

Fine denier fiber fabric has unique wicking effect and good hydrophobic property, which can keep dry and moisture comfortable when people are in heavy and continued sweat. This paper studied the dynamic moisture comfort property of fine denier fiber fabric compared with conventional fiber fabrics. Firstly, a series of experiments was performed on studying the dynamic moisture transferring procedure and evaluating moisture comfort property of fine denier fiber fabrics in two different environmental conditions, which were the most comfortable condition and an extremely uncomfortable condition for humans. Then, by measuring the real time changes of relative humidity in inner and outer surfaces of test fabrics, fabrics’ dynamic comprehensive index was obtained to characterize fabrics’ dynamic moisture comfort property. Finally, grey system theory was introduced to establish prediction models that could describe the relationship between fabric’s static parameters and dynamic comprehensive index. Results show that fine denier fiber fabric has better moisture comfort property than conventional fiber fabrics.

Study on Emergency Management of Sudden Water Pollution Accidents

2013 ◽  
Vol 726-731 ◽  
pp. 4142-4145
Author(s):  
Yun Long Zhang ◽  
Qiang Mei
Keyword(s):  
Water Pollution ◽  
Emergency Management ◽  
Group Decision ◽  
Emergency Situation ◽  
Grey System Theory ◽  
Grey System ◽  
Multiple Group ◽  
National Economic ◽  
Prevention And Treatment ◽  
Sudden Water Pollution

China is facing serious environmental pollution problems and the increasingly worsening water pollution as well as frequent sudden water pollution accidents has become the most notable one. Based on theory of risk prediction and group decision, a series of emergency management methods in dealing with sudden water pollution accidents was presented. In which grey system theory was used in the prediction of sudden water pollution accidents and a GM(1,1) model was given. The results gotten from the GM(1,1) model might be useful in improving our ability of the prevention and treatment of emergent accidents. At the same time, the method of multiple group decision-making was used to illustrate the progress of making decision in real-time event of sudden water pollution accidents. This method will help the decision maker make effective decisions under emergency situation which will reduce the probability of risk, minimize losses, and guarantee the national economic and social security.

Applying grey system theory to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries

2016 ◽  
Vol 6 (2) ◽  
pp. 143-168 ◽  
Author(s):  
Wuwei Li
Keyword(s):  
System Theory ◽  
Grey System Theory ◽  
High Tech ◽  
Grey System ◽  
Content Type ◽  
Relational Analysis ◽  
Panel Data Regression ◽  
Data Regression ◽  
Grey Relational ◽  
The Relationship

Purpose – For the studies whose purposes are to evaluate the relationship between industrial characteristics and innovation activities of the enterprises, there are some limitations in the measures of industrial characteristics and using traditional statistical techniques. The purpose of this paper is to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries using grey system theory. The research results show that grey system theory is suitable to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries. Design/methodology/approach – This paper proposes the measures of industrial characteristics and innovation capabilities of high-tech enterprises. First, based on the data on Chinese large and medium-sized high-tech enterprises for the period of 2011-2013, this paper applies grey relational analysis to identify the relatively most important indexes on affecting innovation capabilities of Chinese high-tech enterprises. Second, based on the results from grey relational analysis, this study draws a ranking of the five Chinese high-tech industries in terms of innovation capabilities by grey decision making. Finally, based on the results from grey decision making, this study applies GM (0, N) model to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries. Findings – The results of this study show that in the evaluation indexes system of innovation capabilities of high-tech enterprises, personnel in R & D institutions, R & D personnel, internal expenditure on R & D, expenditure on new product development, expenditure on technology imports, expenditure on technology renovation, and expenditure on technology assimilation and absorption are relatively most important elements affecting innovation capabilities of Chinese high-tech enterprises. In addition, the two top ranking on innovation capabilities are manufacture of electronic equipment and communication equipment, and manufacture of medicines. At last, the findings indicate that in the measures of industrial characteristics, the three top ranking on affecting innovation capabilities of Chinese high-tech enterprises are R & D intensity, technology absorption intensity of indigenous high-tech enterprises and foreign-invested enterprises size. The opening level is in the middle position. Technology intensity, market concentration, and state-owned enterprises size are the three bottom ranking on affecting innovation capabilities of Chinese high-tech enterprises. Research limitations/implications – This study has some limitations. First, this study is limited to Chinese high-tech industries. The findings may not be applicable to other countries’ high-tech industries. Further studies with other countries’ high-tech industries could be extended and examined how industrial characteristics affect innovation capabilities of the firms in these industries. Second, the measures of industrial characteristics proposed in this study are somewhat theoretically weak. In the future, the authors will further improve the current analysis, and develop the measures of industrial characteristics. Finally, with the advent of the more data with the consistent statistical coverage released by China’s National Bureau of Statistics during the more continuous years, other methods, such as panel data regression model in econometrics could be used to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries. By then, the scholars can compare the results from grey system theory and those from panel data regression model in econometrics. Practical implications – Appropriate industrial environment is favorable for Chinese high-tech enterprises to feed their innovation capabilities. Scientific evaluation on the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries is of great significance for Chinese high-tech enterprises in exerting technological catch-up and promoting their competitive advantage. The purposed measures of industrial characteristics and innovation capabilities of high-tech enterprises in this paper, and combined methodology based on grey system theory could be applied to evaluate the relationship between industrial characteristics and innovation capabilities of Chinese high-tech enterprises. Originality/value – This paper proposes the measures of industrial characteristics and innovation capabilities of high-tech enterprises, and uses grey system theory to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries.

scholarly journals FORECASTING THE NUMBER OF FAILURES OF THE STEERING SYSTEM COMPONENTS WITH THE USE OF THE GREY SYSTEM THEORY METHOD

2021 ◽  
Vol 112 ◽  
pp. 85-97
Author(s):  
Tomasz KĄDZIOŁKA ◽  
Kazimierz OPOKA
Keyword(s):  
System Theory ◽  
System Reliability ◽  
Motor Vehicle ◽  
High Reliability ◽  
Steering System ◽  
Grey System Theory ◽  
Reliability Estimation ◽  
Grey System ◽  
System Failures ◽  
Rolling Elements

Steering systems are one of the most important components of a car and have a direct impact on safety and driving comfort. Therefore, high reliability is required of them. One of the methods of object reliability estimation may be the grey system theory. This method can be used not only to calculate the number of failures, but also to calculate the wear of mating parts, and the vibrations of engines and rolling elements. This work presents the use of the grey system theory for the examination of motor vehicle steering system reliability. The forecast number of failures was calculated for the various components of the steering system and the grey system accuracy was assessed. This is aimed at finding out how useful this theory is for forecasting the number of steering system failures.

Inventory Information Management of Logistics Supply Chain

2014 ◽  
Vol 989-994 ◽  
pp. 5453-5456 ◽  
Author(s):  
Zhi Jie Zhuang
Keyword(s):  
Supply Chain ◽  
Information Management ◽  
Classification Problem ◽  
Grey System Theory ◽  
Management Problem ◽  
Grey System ◽  
Inventory Theory ◽  
Grey Clustering ◽  
Market Situation

The supply chain information management of logistics has become an important method to enhance its competitiveness. The inventory information management and application of the logistics supply is researched based on grey clustering decision-making methods. The inventory theory and methods are studied firstly, and the fuzzy mathematics and grey system theory are used to solve the classification problem. The electronic industry logistics supply chain is taken as the example, the inventory information management problem is solved. The inventory information management theory is improved in this paper, and it can more accurately reflect the market situation, it provides the reference for the classification of inventory information management in logistics supply chain.

An Integrative Method for the Evaluation of Network Attack Effectiveness Based on Grey System Theory

2015 ◽  
pp. 275-287
Author(s):  
Pengfei Wang ◽  
Wentao Zhao ◽  
Fan Zhang ◽  
Zimei Peng
Keyword(s):  
System Theory ◽  
Evaluation Methods ◽  
Grey System Theory ◽  
Effectiveness Evaluation ◽  
Grey System ◽  
Network Attacks ◽  
Network Attack ◽  
Significant Difference ◽  
Grey Clustering ◽  
Integrative Method

On the basis of the grey system theory, which is proposed to tackle the problems of uncertainty and missing information, an integrative method for the effectiveness evaluation of network attacks is proposed, which combines the merits of three different kinds of evaluation methods based on Grey-Clustering Analysis (GCA). Particularly, the proposed method provides a solution to the problem of accuracy drop seen in prevailing grey evaluation methods when the clustering coefficients exhibit no significant difference. With low time complexity, the proposed method performs well in the effectiveness evaluation of network attacks. Simulation results on suitable DDoS scenarios demonstrate the feasibility and power of the method.

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