A New Grey Relational Analysis Model Based on the Characteristic of Inscribed Core (IC-GRA) and Its Application on Seven-Pilot Carbon Trading Markets of China

Wang, Lihong; Yin, Kedong; Cao, Yun; Li, Xuemei

doi:10.3390/ijerph16010099

Cited by 26 publications

(22 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, with the development of society, people's demand for spiritual life is increasing, the incidence of mental illness is also increasing year by year, and the incidence is mostly concentrated in big cities [ 11 – 13 ]. Modern medicine has a huge amount of complex data; in many cases, it is difficult to achieve a reasonable allocation of resources, which puts forward an urgent demand for the artificial intelligence of modern medicine and also brings great pressure to the development of the medical industry [ 14 – 16 ].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Construction and Drug Evaluation Based on Convolutional Neural Network System Optimized by Grey Correlation Analysis

Huang

2021

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

Incidence rate of mental illness is increasing year by year with the development of city. The amount of modern medical data is huge and complex. In many cases, it is difficult to realize the rational allocation of resources, which puts forward an urgent demand for the artificial intelligence of modern medicine and brings great pressure to the development of the medical industry. The purpose of this study is to develop and construct a grey correlation analysis and related drug evaluation system of mental diseases based on deep convolution neural network. The establishment of the system can effectively improve the automation and intelligence of modern psychiatric treatment process. In this article, the grey correlation analysis of patient data is carried out, and then, the optimized deep convolution neural network is constructed. Combined with the medical knowledge base, the analysis of disease results is realized, and on this basis, the efficacy of related drugs in the treatment of mental diseases is evaluated. The results show that the advantage of the deep convolution neural network system is to effectively improve the induction rate. What’s more, compared with other algorithms, this algorithm has higher accuracy and efficiency. It improves the comprehensiveness and informatization of disease screening methods, improves the accuracy of screening, reduces the consumption of doctors’ human resources, and provides a theoretical basis for the digitization of the medical industry in the future.

show abstract

Section: Introductionmentioning

confidence: 99%

[Retracted] Construction and Drug Evaluation Based on Convolutional Neural Network System Optimized by Grey Correlation Analysis

Huang

2021

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…Moreover, based on unifying the observation features of different dimensions, it can more comprehensively and accurately describe the correlation between samples [34,35,36]. With the widespread use of panel data in recent years, gray incidence analysis also has extended from the initial analysis of plane curves to three-dimensional spatial relationship analysis [37,38,39].…”

Section: Modeling and Empirical Analysis Of Panel Gray Relationmentioning

confidence: 99%

Analysis of the Influence Mechanism of CO2 Emissions and Verification of the Environmental Kuznets Curve in China

Fang

Hao

Wang

et al. 2019

IJERPH

View full text Add to dashboard Cite

Changes in economic development stage and growth type will lead to variations in the CO2 emissions. Traditional empirical analysis of the variations often only considers the impact of influencing factors on CO2 emissions from a single dimension. Under the background of China’s economy transferring from high-speed growth to high-quality development, this paper comprehensively considers the characteristics of the relevant influencing factors under different development stages and growth rates, and further calculates the panel gray incidence degree between CO2 emissions and these influencing factors in eastern, central, and western China. Based on the different development conditions, corresponding benchmarks of the indicators for the three regions (eastern, western, and central China) are accordingly set, highlighting the unity as well as the uniqueness between different regions. Furthermore, this paper verifies the environmental Kuznets curve (EKC) in the three regions. The result shows that all the factors of per capita Gross Domestic Product (GDP), Energy Intensity, Urbanization Level, and Trade Openness have a high correlation with CO2 emissions in the three regions, in which CO2 emissions are all between the two inflection points of the inverted N-shaped model.

show abstract

“…The GIA model that is also referred to as grey relational analysis (GRA) ( Javed and Liu, 2018a) model is a vital aspect of grey system theory (GST) and is the cornerstone of grey system analysis, modeling, prediction and decision making (Wang et al, 2019). "The Control Problems of Grey Systems" and "Grey Control System" were published by Professor Julong Deng from Huazhong University of Science and Technology, the People's Republic of China in 1982 gave birth to GST (Liu et al, 2017).…”

Section: Literature Review 21 Grey Incidence Analysis Modelmentioning

confidence: 99%

“…At best, GIA is appropriate for solving complicated interrelationships between multiple factors and variables and has been successfully applied in project selection, prediction analysis, performance evaluation and factor effect evaluation and multiple criteria decision (Sallehuddin et al, 2008). Many scholars appreciating the work of professor Deng, then, put forward various GIA models, including absolute relational model, T type relational model, B type and C type relational degree and slope relational degree (Wang et al, 2019). In recent years, the advancement of GRA has led to the proposition of new models like the relative GRA model, synthetic GRA model, second synthetic GRA model and bidirectional absolute GRA model Liu et al, 2017).…”

Section: Literature Review 21 Grey Incidence Analysis Modelmentioning

confidence: 99%

“…GIA has also been used by Zhang et al (2016) to analyze the correlation between the logistics industry and economic development. Wang et al (2019) discussed a new GRA characteristic of an inscribed core (IC-GRA) and its application on seven-pilot carbon trading markets of China. Javed and Liu (2018a) also evaluated outpatient satisfaction and service quality of Pakistani healthcare projects applying a novel synthetic GIA model.…”

Section: Literature Review 21 Grey Incidence Analysis Modelmentioning

confidence: 99%

See 1 more Smart Citation

Grey relational evaluation of impact and control of malaria in Sub-Saharan Africa

Quartey-Papafio

Liu

Javed³

2019

View full text Add to dashboard Cite

Purpose The rise in malaria deaths discloses a decline of global malaria eradication that shows that control measures and fund distribution have missed its right of way. Therefore, the purpose of this paper is to study and evaluate the impact and control of malaria on the independent states of the Sub-Saharan African (SSA) region over the time period of 2010–2017 using Deng’s Grey incidence analysis, absolute degree GIA and second synthetic degree GIA model. Design/methodology/approach The purposive data sampling is a secondary data from World Developmental Indicators indicating the incidence of new malaria cases (per 1,000 population at risk) for 45 independent states in SSA. GIA models were applied on array sequences into a single relational grade for ranking to be obtained and analyzed to evaluate trend over a predicted period. Findings Grey relational analysis classifies West Africa as the highly infectious region of malaria incidence having Burkina Faso, Sierra Leone, Ghana, Benin, Liberia and Gambia suffering severely. Also, results indicate Southern Africa to be the least of all affected in the African belt that includes Eswatini, Namibia, Botswana, South Africa and Mozambique. But, predictions revealed that the infection rate is expected to fall in West Africa, whereas the least vulnerable countries will experience a rise in malaria incidence through to the next ten years. Therefore, this study draws the attention of all stakeholders and interest groups to adopt effective policies to fight malaria. Originality/value The study is a pioneer to unravel the most vulnerable countries in the SSA region as far as the incidence of new malaria cases is a concern through the use of second synthetic GIA model. The outcome of the study is substantial to direct research funds to control and eliminate malaria.

show abstract

A New Grey Relational Analysis Model Based on the Characteristic of Inscribed Core (IC-GRA) and Its Application on Seven-Pilot Carbon Trading Markets of China

Cited by 26 publications

References 13 publications

[Retracted] Construction and Drug Evaluation Based on Convolutional Neural Network System Optimized by Grey Correlation Analysis

[Retracted] Construction and Drug Evaluation Based on Convolutional Neural Network System Optimized by Grey Correlation Analysis

Analysis of the Influence Mechanism of CO2 Emissions and Verification of the Environmental Kuznets Curve in China

Grey relational evaluation of impact and control of malaria in Sub-Saharan Africa

Contact Info

Product

Resources

About