scholarly journals Operation analysis of C3-MR process cold box by grey system theory

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Yuan Yang ◽  
Chuantao Xiao ◽  
Zhipeng Jia
Keyword(s):  
Grey System Theory ◽  
Analysis Model ◽  
Grey System ◽  
Measuring Point ◽  
Operation Analysis ◽  
Temperature Measuring ◽  
Correlation Degree ◽  
Cold Energy ◽  
The Difference ◽  
Cold Box

AbstractIn this paper, the problems of high refrigerant line differential pressure and uneven distribution of cold energy in cold box regulation under C3-MR process are studied. Five reasons are predicted by engineering performance. Using gas chromatography experiment and grey system pure mathematics analysis, it is determined that the main causes of the problem are unreasonable distribution ratio of each group of mixed refrigerants and disordered latent heat of vaporization of refrigerants. Furthermore, the grey system model is used to study: 1. grey relation analysis model shows that the correlation degree of T3 temperature measuring point is 0.8552, which is the only main factor. The abnormal working condition is determined by the project to be caused by incorrect proportion of N2 components. 2. According to GM(1,N) model, the driving term of T3 temperature measuring point is 3.8304, which needs to be supplemented with N2 component to eliminate the problem. 3. After adding N2 to 10% (mol component), abnormal working conditions disappeared. The GM(1,N) model is used again to verify that the difference of driving results is small, the average relative error is 24.91%, and the accuracy of the model is in compliance.

Sensitivity Analysis of Temperature Measuring Points for Machine Tool Spindle Based on Grey System Theory

2014 ◽  
Vol 800-801 ◽  
pp. 720-725 ◽  
Author(s):  
Qian Feng Wang ◽  
Song Zhang ◽  
Yan Chen ◽  
Qing Zhang ◽  
Bin Zhao
Keyword(s):  
System Theory ◽  
Sensitivity Analysis ◽  
Machine Tool ◽  
Grey System Theory ◽  
Analysis Method ◽  
Grey System ◽  
Measuring Point ◽  
Temperature Measuring ◽  
Machine Tool Spindle ◽  
Sensitivity Analysis Method

This paper presents a sensitivity analysis method of temperature measuring point of the machine tool spindle based on grey system theory. The initial finite element analysis (FEA) is conducted on the spindle model to determine the temperature distribution of the spindle model and ascertain the resultant structural deformation, and eight nodes of the spindle model are selected as temperature measuring points. By means of grey system theory, temperature measuring points of machine tool spindle model are analyzed and then the effects of the different temperature measuring point on the spindle axial deformation are conducted. Finally, the validity of this sensitivity analysis method is verified by conducting the theoretical analysis and developing the linear estimate equation. The analysis results show that this sensitivity analysis method can effectively determine the thermal sensitivity of temperature measuring points, ensure the accuracy of the thermal compensation model and eliminate the coupling problems.

scholarly journals Main Driving Factors and Prediction Model of Total Health Expenditure in China: A Study Based on Grey System Theory

2019 ◽  
Author(s):  
Huanhuan Jia ◽  
Xihe Yu ◽  
Jianxing Yu ◽  
Zhou Zheng ◽  
Yingying Li ◽  
...  
Keyword(s):  
System Theory ◽  
Prediction Model ◽  
Health Expenditure ◽  
The Elderly ◽  
Grey System Theory ◽  
Driving Factors ◽  
System Reform ◽  
Total Health Expenditure ◽  
Grey System ◽  
Correlation Degree

Abstract Background: The continuous increase in total health expenditure has become a social issue of common concern in most countries. In China, the total health expenditure still maintains a fast growth trend which is much higher than the growth of the country’s economy, although the new health system reform had been going on for 8 years until 2017. The aims of the current study were thus to investigate the main driving factors affecting total health expenditure and to establish a prediction model. Methods: Gray system theory was employed to explore the correlation degree between total health expenditure and 13 hot spots from the fields of economy, population, health service utilization, and public policy using national data in China from 2009 to 2017. Besides, a prediction model was established using the main driving factors among the 13 hot spots. Results: The main driving factors related to the changes of total health expenditure were public policy (ranked first), health development, economics, and aging, which correlation degrees were more than 0.7. The average error of the GM(1,7) model was 3.17%, the correlation degree, β , between the predicted simulation sequence and the original sequence was 0.78, the variance ratio, C, was 0.138, and the probability of residuals, P, was 1.0000. Therefore, the prediction model of total health expenditure with 6 main driving factors was excellent. Conclusion: The paper finds that since the new health system reform in China, government policies and social invest have contributed greatly to reducing the burden of health expenditure. However, the development of economic and the increase in the elderly population, which are main driving factors, will increase the total health expenditure, so improving the efficiency of investment and providing the precautionary health care and nursing for the elderly are crucial. Besides, the grey system theory had a good application in the field of health economics and policy.

Extended GRA-Based MADM Strategy With Single-Valued Trapezoidal Neutrosophic Numbers

2020 ◽  
pp. 150-179
Author(s):  
Surapati Pramanik ◽  
Rama Mallick
Keyword(s):  
Decision Making ◽  
Hamming Distance ◽  
Score Function ◽  
Grey System Theory ◽  
Analysis Model ◽  
Grey System ◽  
Multi Attribute Decision Making ◽  
Incidence Analysis ◽  
Trapezoidal Neutrosophic Number ◽  
Neutrosophic Number

Multi-attribute decision-making(MADM) strategy has been proposed to handle uncertain decision-making problems. The most extensively used models of grey system theory is grey relational analysis (GRA). This strategy was flourished by Chinese Professor J. Deng. This strategy also known as Deng's grey incidence analysis model. GRA uses a generic concept of intelligence. It describes any circumstance as no information as black and perfect information as white. Nevertheless, these idealized situations appear in real-world problems. In this chapter, the authors extend GRA strategy for multi-attribute decision making in trapezoidal neutrosophic number (TrNN) environment. To develop a GRA strategy in trapezoidal neutrosophic number (TrNN) environment, the authors use score function and accuracy function. Then Hamming distance for two trapezoidal neutrosophic number (TrNN) are also described. The authors solve a numerical problem to explain the pertinence of the proposed strategy. Lastly, they provide a comparison between VIKOR strategy with existing strategy.

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.

scholarly journals Application of Artificial Intelligence in College Dance Teaching and Its Performance Analysis

2020 ◽  
Vol 15 (16) ◽  
pp. 178
Author(s):  
Yingping Wang ◽  
Guang Zheng
Keyword(s):  
Artificial Intelligence ◽  
Performance Analysis ◽  
College Education ◽  
Grey System Theory ◽  
Analysis Model ◽  
Grey System ◽  
Analytic Hierarchy ◽  
Promotive Effect ◽  
Hierarchy Process ◽  
Fuzzy Interval

Artificial intelligence (AI) has not been widely and deeply implemented in dance teaching of colleges. To solve the problem, this paper identifies the problems with the AI in college education and dance teaching, theoretically discusses the application strategies of the AI in dance teaching of colleges, and demonstrates the promotive effect of AI in college dance teaching. Next, a performance analysis model was established based on fuzzy interval num-ber, grey system theory, and analytic hierarchy process (AHP), and adopted to evaluate the performance of the AI application in college dance teaching. The research results shed a new light on the application of cutting-edge tech-niques in college education.

Research of the safety path of university laboratory basing on the analysis of grey correlation degree

2020 ◽  
pp. 1-8
Author(s):  
Lili Chen
Keyword(s):  
Influencing Factors ◽  
Safety Management ◽  
Colleges And Universities ◽  
Grey System Theory ◽  
Practical Significance ◽  
Laboratory Safety ◽  
Safety Education ◽  
Grey System ◽  
Laboratory Environment ◽  
Correlation Degree

In recent years, the laboratory safety situation in Colleges and universities has improved, but the safety situation is still severe, so it is urgent to carry out relevant research. Based on the research basis of previous literature, this paper extracts the causes of laboratory accidents in Colleges and universities in the past six years, uses the grey system theory to carry out correlation analysis, sorts the correlation degree of influencing factors of laboratory safety behavior, and through empirical analysis, the organization system, safety education, professional safety, laboratory environment management, foundation safety show a decreasing relationship in the influencing factors of laboratory safety. On the basis of this conclusion, the safety management path of related laboratories is proposed: Improve the laboratory organization and management system; carry out safety education regularly; strict professional operation process; orderly laboratory environment; effective basic safety management. These path studies have positive practical significance for laboratory safety management.

scholarly journals Influence of Teacher-Student Matching on Knowledge Innovation of College Students

2021 ◽  
Vol 16 (01) ◽  
pp. 262
Author(s):  
Yuan Zhang
Keyword(s):  
College Students ◽  
Strong Support ◽  
Grey System Theory ◽  
Analysis Model ◽  
Grey System ◽  
Analytic Hierarchy ◽  
Teacher Student ◽  
Knowledge Innovation ◽  
Two Factors ◽  
Set Up

The relationship between teacher-student matching and knowledge innovation of college students is constrained by multiple factors. Considering the multiple constraints, this paper explores deep into the influence of teacher-student matching on knowledge innovation of college students. Firstly, the internal correlation between the two factors was identified through analysis. Next, the detailed contents of the two factors were examined, and used to set up an analysis model to improve knowledge innovation of college students based on teacher-student matching. Grey system theory and analytic hierarchy process (AHP) were implemented in the modeling process. Finally, several strategies were put forward to promote knowledge innovation among college students, from the perspective of teacher-student matching. The research results provide a strong support to knowledge innovation in colleges.

ISM based Correlation Analysis on Culture Industry Categories

2011 ◽  
Vol 403-408 ◽  
pp. 285-289
Author(s):  
Shang Qin Yang ◽  
Yang Shen
Keyword(s):  
Culture Industry ◽  
Important Research ◽  
Cultural Industry ◽  
Analysis Model ◽  
The Core ◽  
Core Category ◽  
Correlation Degree ◽  
Important Research Topic ◽  
The Difference ◽  
The Empirical Analysis

The core category of cultural industry determination is an important research topic for decision-making in the cultural industry development. However, because of the insufficiency of statistics data and the difference in measurement, objective analysis on category correlation of cultural industry is difficult. This paper presents a cultural industry category correlation model with the empirical analysis using ISM (Interpretative Structural Modeling Method). Based on experts’ judgment and knowledge, this approach can generate the reachability matrix and construct the directed digraph to analyze the correlation degree of different culture industry categories. Through this analysis model, some convincing recommendations are also provided in the end.

Prediction of Technical Reserves Based on Grey Model — GM(1,1): Evidence from Non-life Egyptian Insurance Market

2019 ◽  
Vol 10 (9) ◽  
pp. 852-860
Author(s):  
Mahmoud Elsayed ◽  
◽  
Amr Soliman ◽  
Keyword(s):  
System Theory ◽  
Grey System Theory ◽  
Insurance Market ◽  
Grey Model ◽  
Loss Ratio ◽  
Grey System ◽  
Mathematical Technique ◽  
Supervisory Authority ◽  
Error Ratio ◽  
Using Data

Grey system theory is a mathematical technique used to predict data with known and unknown characteristics. The aim of our research is to forecast the future amount of technical reserves (outstanding claims reserve, loss ratio fluctuations reserve and unearned premiums reserve) up to 2029/2030. This study applies the Grey Model GM(1,1) using data obtained from the Egyptian Financial Supervisory Authority (EFSA) over the period from 2005/2006 to 2015/2016 for non-life Egyptian insurance market. We found that the predicted amounts of outstanding claims reserve and loss ratio fluctuations reserve are highly significant than the unearned premiums reserve according to the value of Posterior Error Ratio (PER).

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