Using grey relational analysis to analyze influential factor of hand, foot and mouth disease in Shenzhen

2019 ◽  
Vol 9 (2) ◽  
pp. 197-206
Author(s):  
Xiaoyi He ◽  
Liping Li ◽  
Xiaojian Liu ◽  
Yongsheng Wu ◽  
Shujiang Mei ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Gross Domestic Product ◽  
Foot And Mouth Disease ◽  
Domestic Product ◽  
Content Type ◽  
Grey Correlation ◽  
Grey Correlation Analysis ◽  
Environmental Air ◽  
The Impact ◽  
Socio Economic Factors

Purpose Hand, foot and mouth disease (HFMD) is a common infectious disease in infants and children. HFMD has caused millions of cases and a large epidemic worldwide. A number of studies have shown that the incidence of HFMD is closely related to various factors such as meteorological factors, environmental air pollution factors and socio-economic factors. However, there are few studies that systematically consider the impact of various factors on the incidence of HFMD. The paper aims to discuss these issues. Design/methodology/approach This study used grey correlation analysis and principal component analysis (PCA) method to systematically analyse the impact of meteorological factors, health resource factors, socio-economic factors and environmental air pollution factors on the incidence of HFMD in Shenzhen. Findings The incidence of HFMD in Shenzhen was affected by multiple factors. Grey correlation analysis found eight influencing factors which are as follows: volume of industrial waste gas emission; the days of air quality equal to or above grade; the volume of industrial nitrogen oxide emission; precipitation; the mean air temperature; the gross domestic product; the expenditure for medical and health care; and the gross domestic product per capita. PCA found that the gross domestic product, the volume of industrial soot emission, the relative humidity, and the days of air quality equal to or above grade have a higher load value. Originality/value This study is the one of the first studies that apply the grey correlation analysis to analyse the influencing factors of HFMD in the English literature, which to some extent fills up the blank in this field.

Grey correlation analysis on the synergistic development between innovation-driven strategy and marine industrial agglomeration: based on China's coastal provinces

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheng Xu ◽  
Qingde Yue ◽  
Binbin Lu
Keyword(s):  
Correlation Analysis ◽  
Relational Model ◽  
Industrial Agglomeration ◽  
Integration Process ◽  
Content Type ◽  
Original Algorithm ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Grey Correlation Analysis ◽  
The Impact

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.

Effect of electrolysis parameters on corrosion resistance of extra-low carbon high silicon iron-based alloy

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yue Zhang ◽  
Jun Xiao ◽  
Shaoguang Yang ◽  
Aimin Zhao
Keyword(s):  
Corrosion Resistance ◽  
Correlation Analysis ◽  
Corrosion Rate ◽  
Low Carbon ◽  
Silicon Iron ◽  
Content Type ◽  
Grey Correlation ◽  
Grey Correlation Analysis ◽  
Iron Based ◽  
High Silicon

Purpose High silicon iron-based alloys possess excellent corrosion resistance in certain specific media, but the effects of electrolysis parameters on corrosion resistance remain unknown. This study aims to guide the development and application of an extra-low carbon high silicon iron-based alloy (ECHSIA) in electrode plates. Design/methodology/approach The corrosion resistance of ECHSIA and a conventional high-silicon cast iron (CHSCI) was analyzed through experimental characterizations. The morphology was observed by scanning electron microscopy. The influence of electrolysis parameters on the corrosion resistance of ECHSIA was investigated through corrosion experiments. The relationship between the electrolysis parameters and the corrosion resistance of ECHSIA was statistically investigated using the grey correlation analysis method. Findings The corrosion resistance of the ECHSIA is better than that of the CHSCI. The corrosion rate showed an increasing tendency with the increase in the nitric acid concentration (CHNO3), electrolyte temperature and current density. The grey correlation analysis results showed that the CHNO3 was the main factor affecting the corrosion rate of the ECHSIA. Originality/value An ECHSIA with a single ferrite microstructure was prepared. This study provides a guideline for the future development and application of ECHSIAs as electrode plates.

Cognition differences and improvement countermeasures of non-technical medical services based on grey correlation analysis

2019 ◽  
Vol 9 (2) ◽  
pp. 155-163
Author(s):  
Hangyu Liu ◽  
Saina Liu ◽  
Lizhong Duan ◽  
Chongxu Zhang ◽  
Lili Yin ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Influencing Factors ◽  
Design Methodology ◽  
Doctoral Degree ◽  
Medical Services ◽  
Literature Analysis ◽  
Expert Interviews ◽  
Content Type ◽  
Grey Correlation ◽  
Grey Correlation Analysis

Purpose The purpose of this paper is to explore the rationality differences of cognition of non-technical medical services in different groups, and to provide countermeasures for improving non-technical medical services. Design/methodology/approach Literature analysis, expert interviews, questionnaire survey and frequency analysis were taken to reveal the influencing factors of non-technical medical services. Grey correlation methods were taken to compare the rationality differences of cognition of non-technical medical services by analysis influencing factors’ scores marked by different groups. Findings A total of 12 influencing factors of non-technical medical services were obtained, including “doctor’s working career”, “doctor’s strict implementation of medical treatment norms and medication guidelines”, “doctor’s service awareness”, etc. And rationality differences of cognition of non-technical medical services were confirmed as follows: the doctors’ cognition was more reasonable compared with patients; the women’s cognition was more reasonable compared with men; the lower aged groups’ cognition was more reasonable compared with higher aged groups; and people with doctoral degree had a less reasonable cognition compared with others. Originality/value The authors systematically discussed the cognition differences of non-technical medical services among different people, and provided some countermeasures reasonably.

scholarly journals Effects of Vehicle-Induced Vibrations on the Tensile Performance of Early Age PVA-ECC

2019 ◽  
Author(s):  
Xiaodong Zhang ◽  
Shuguang Liu ◽  
Changwang Yan ◽  
Xiaoxiao Wang ◽  
Huiwen Wang
Keyword(s):  
Tensile Strength ◽  
Ultimate Tensile Strength ◽  
Correlation Analysis ◽  
Uniaxial Tensile ◽  
Uniaxial Tensile Test ◽  
Early Age ◽  
Grey Correlation ◽  
Tensile Performance ◽  
Grey Correlation Analysis ◽  
The Impact

The purpose of this study was to conduct laboratory test programs on how much vehicle-induced vibrations during early ages affected the tensile performance of Polyvinyl alcohol-engineering cementitious composites (PVA-ECC). A self-improved device was used to simulate the vehicle-induced vibrations, and after vibrating with the designed variables, both a uniaxial tensile test and a grey correlation analysis were performed. The results indicated that: the effects of vehicle-induced vibrations on the tensile performance of early age PVA-ECC were significant, and they generally tended to be negative in this investigation. In particular, for all of the vibrated PVA-ECC specimens, the most negative age when vibrated occurred during the period between the initial set and the final set. In this period, the effects of the vibration duration on the tensile performance of the PVA-ECC tended to be negative overall, but the impact trend and the degree varied for the corresponding lengths of duration and levels of frequency. The cracking strength was the most sensitive to the variables in this investigation, and then it followed the ultimate tensile strength and strain. The grey correlation analysis was applicable in analyzing the effects of vehicle-induced vibrations on the tensile performance of early age PVA-ECC.

Impact of exchange rate movement and macro-economic factors on exports of software and services from India

2016 ◽  
Vol 23 (5) ◽  
pp. 1193-1206 ◽  
Author(s):  
Parijat Upadhyay ◽  
Saikat Ghosh Roy
Keyword(s):  
Exchange Rate ◽  
Gross Domestic Product ◽  
Real Effective Exchange Rate ◽  
Domestic Product ◽  
Content Type ◽  
Indian Rupee ◽  
Effective Exchange ◽  
Effective Exchange Rate ◽  
The Impact ◽  
Software Services

Purpose – The information technology (IT) sector in India is the leading exporter from the service sector domain and also is a significant contributor to the overall export kitty of India. The IT sector’s contribution in total Indian exports (merchandise plus services) increased from less than 4 percent in FY1998-1999 to about 25 percent in FY2011-2012 as per IT industry nodal body National Association of Software and Services Companies and the central bank of the country, the Reserve Bank of India (RBI). As this industry earns most of its revenue in foreign currencies it is exposed to the foreign exchange risks. The purpose of this paper is to validate the macro-economic theory that depreciation in domestic currency boosts export as it makes domestic good and services cheaper and appreciation in domestic currency deters export as it makes domestic good and services costlier. The authors are validating this theory for Indian rupee and keeping software services export in the focus. Design/methodology/approach – In this study the authors have done the multiple regression analysis on the obtained time-series data. The research was totally based on the secondary data from Quarter1 (April-June) of FY 2000-2001 to Quarter4 (January-March) of FY 2011-2012. It comprises of data for 48 consecutive quarters. The authors have taken the growth rate, so the final data set consist of data of 47 quarters. The main source of data are published data by RBI. Data have been collected for export of software services, merchandise export, real effective exchange rate, US-dollar-Indian rupee exchange rate, gross domestic product of India and selected countries. Findings – Data analysis leads the authors to the following findings: real effective exchange rate has no significant impact on software services export; US-dollar-Indian rupee exchange rate has no significant impact on software services export; external gross domestic product growth has no significant impact on software services export; and gross domestic product growth of India has no significant impact on software services export. The results obtained from multiple regression analysis are also supported by the results obtained from Granger Causality test. It does not identify any single factor as a major cause of software export. Results shows that the external GDP is having the statistically significant impact on the software export but the low value of R2 denotes that the impact is very low. Originality/value – There are no published studies available which has attempted similar kind of an approach to study using aggregated export data and other macro-economic variables like real effective exchange rate (REER) and GDP growth rate. All previous literatures used REER to measure the impact of the exchange rate on export.

Quantifying e-governance efficacy towards Indian–EU strategic dialogue

2017 ◽  
Vol 11 (4) ◽  
pp. 535-571 ◽  
Author(s):  
Vivek Soni ◽  
Rashmi Anand ◽  
Prasanta Kumar Dey ◽  
Ambika Prasad Dash ◽  
Devinder Kumar Banwet
Keyword(s):  
Decision Making ◽  
Gross Domestic Product ◽  
Cyber Security ◽  
Research Study ◽  
Action Plan ◽  
Domestic Product ◽  
Infrastructure Development ◽  
Strong Base ◽  
Content Type ◽  
The Impact

Purpose The purpose of this research paper is to assess efficacy of e-governance implementation, influenced under the Indian-EU (European Union – EU) strategic dialogue. For the same purpose, this study aims to analyse and measure penetration level of information and communication technology (ICT) applications across ten select gross domestic product-dependent sectors (gross domestic product – GDP) in Indian economy. Design/methodology/approach Multi-criteria decision-making (MCDM) approach of PROMETHEE, using its partial and complete versions in fuzzy environment, is applied. The approach assesses e-governance efficacy in various sectors, which is chosen based on their contribution to GDP, where criteria values are assigned by expert opinions, feedback is received and lessons are learnt from training and initiatives taken under the Digital India programme launched by the Government of India. These criteria related to IT policy implementation, cyber security breaches, IT infrastructure development initiatives in select sectors are identified. Later, sectors outranking results have been highlighted using both fuzzy set theory along with PROMETHEE (F-PROMETHEE) and its visual application. Findings On applying F-PROMETHEE, studies found that industrial, railways, health and finance and education sectors outrank in their high merit orders. Contrary, outranking shows that agriculture, defence and aerospace sectors should be more open and accessible to adopt ICT applications in order to promote e-governance processes and their implementation to make e-services available to common citizens. For better interpretation of results, graphical analysis for interactive aid is used to present the analyses. Research limitations/implications Research study was found useful in the assessment of ICT penetration level in to support Indo-EU relations, where PROMETHEE method is used to outrank sectors alternatives. Criteria are also weighted using fuzzy scale, and the impact of criteria on all alternatives has also been assessed. MCDM framework addresses that subjectivity lies in sectors to implement ICTs bases services. However, few other MCDM frameworks, methods such as COPRAS, GST, GRA, SAW and SWARA, can be used for the same purpose. Practical implications Sectors alternative involve high degree of complexity to adopt ICT applications for smooth e-governance and seek effective decision-making for investment prioritization and future development. This study also aims to address cyber security concerns of policymakers. Outranking methods of F-PROMETHEE are able to address the criteria-to-criteria impact and support decision-making in a more precise way. Social implications This study is inspired from the strategic implementation of the framework of the e-Government Action Plan 2016-2020 of the EU. The findings from the paper can provide referential support to the Indian Government and policymakers to support information delivery, implement cyber security policies and various sector developments. Originality/value This research study can act as a strong base in the decision-making process in conflicting situations of e-governance in India. This study not only can synergize conflicting ideas of various stakeholders, academicians in the Indian IT-sector but also can act as support to administrators and the policymakers to monitor the status of the India-EU Information Society Dialogue.

Assessing the impact of marine production manufacturing on gross domestic product indicators

2018 ◽  
Vol 3 (4) ◽  
pp. 338-353 ◽  
Author(s):  
Faris ALshubiri
Keyword(s):  
Gross Domestic Product ◽  
Pearson Correlation ◽  
Statistical Significance ◽  
Strong Relationship ◽  
Ordinary Least Squares ◽  
Coastal Ecosystems ◽  
Domestic Product ◽  
Content Type ◽  
Gcc Countries ◽  
The Impact

Purpose This paper aims to assess and empirically analyze the impact of marine production manufacturing on gross domestic product (GDP) indicators as a comparative study in Gulf Cooperation Council (GCC) countries. Design/methodology/approach This study used analytical quantitative approaches to assess the impact of marine production manufacturing on GDP between GCC countries over the period from 2007 to 2015. The data were collected from Global Competitiveness Reports during 2006-2016 and from Food and Agriculture Organization of the United Nations, FAO 2015 reports. Findings The results show that Saudi Arabia country has the highest production of marine while Bahrain country is the lowest in GCC. The results of ordinary least squares test show that marine production has a statistical significance on GDP indicators as Pearson correlation matrix shows a strong relationship between all variables. Practical implications The main conclusion is that GCC countries must adopt a regional strategy to support maritime activities, especially in the light of green environmental fluctuations. Integrated management plans are also needed to protect vital coastal ecosystems while allowing economic growth and ensuring a better quality of life for all coastal populations. Comprehensive and collaborative leadership provides effective long-term management of coastal ecosystems in the GCC. In addition, GCC countries have high competition with each other for their market share in the global export-based marine production manufacturing. Originality/value This paper is the first to present most wealthy GCC countries in terms of marine production manufacturing. Marine production manufacturing introduces to create a new competitive market that generates distinctive internal capabilities for survival and growth in international markets.

A decision support model for subcontractor selection using a hybrid approach of QFD and AHP-improved grey correlation analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaobo Chen ◽  
Yanfeng Ding ◽  
Clark A. Cory ◽  
Yingwen Hu ◽  
Kuo-Jui Wu ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Selection Process ◽  
Selection Model ◽  
Content Type ◽  
Grey Correlation ◽  
Proposed Model ◽  
Weight Calculation ◽  
Grey Correlation Analysis ◽  
Project Objectives ◽  
Qfd Method

PurposeThe purpose of this paper is to propose a subcontractor selection model to fully consider the impact of construction enterprise demands on subcontractor selection. The objectives are to understand the translating process of specific enterprise demands to the evaluating criteria and the weight calculation process.Design/methodology/approachA three-stage model of subcontractor selection was designed based on quality function deployment (QFD), analytic hierarchy process (AHP) and improved grey correlation analysis (IGCA). In the proposed model, specific enterprise demands are translated by the QFD method, and the weights of the criteria are determined by the IGCA. The AHP is used to quantify the exporters' experience and construct the judgment matrix, which is used as inputting of the grey correlation analysis.FindingsThe proposed model provides a feasible process for subcontractor selection by fully considering the actual requirements of the project. By combining the company requirements and project requirement to put forward the requirements of the target subcontractor, the selection process ensures that the selected subcontractor and the project have a higher “fit”Originality/valueFew researches on construction subcontractor selection have taken into account the “voice” of the company's stakeholders. Therefore, this paper designs a three-stage construction subcontractor selection model by introducing QFD to achieve the transmission of “voice” in the subcontractor selection process, so as to take full consideration of the project objectives and the needs of the company's stakeholders. Meanwhile, in order to decrease the subjective of weight calculation, this paper designs an AHP-IGCA allocation method to determine the weight of relevant indicators. By integrating the proposed weight calculation method and QFD method, the subcontractor selection results become more reasonable and objective.

The empirical study of executive compensation in China port and shipping listed companies based on the grey relational analysis

2016 ◽  
Vol 6 (2) ◽  
pp. 259-269 ◽  
Author(s):  
Jiajia Chen ◽  
Rong Zhang ◽  
Bin Liu
Keyword(s):  
Firm Performance ◽  
Correlation Analysis ◽  
Executive Compensation ◽  
Influence Factors ◽  
Listed Companies ◽  
Grey System Theory ◽  
Financial Indicators ◽  
Content Type ◽  
Grey Correlation ◽  
Grey Correlation Analysis

Purpose – The purpose of this paper is to find the key influence factors of executive compensation within China ports and listed shipping companies and provide some reasonable suggestions. Eventually, help to perfect the executive compensation evaluation mechanism against the background of new area. Design/methodology/approach – Grey correlation analysis is an important part of grey system theory. Professor Liu Sifeng further studies the relationship between two sequences absolute increment on the basis of Deng’s degree and put forward the “Grey absolute correlation degree,” which is widely used in practice. In the study, on the basis of the area of the line between sequences size, it measures the correlation degrees of firm performance, executive stock holding, continuous growth capacity and other relevant factors of executive payment in China ports and listed shipping companies. Findings – The paper concludes that the main factors influence CEO salary in China ports and listed shipping companies are return on equity and growth rate of fixed assets. However, the authors consider the frequent occurrence of executives’ corruption in China listed state-owned enterprise under the environment of financial and economic crisis, the authors argue that the significant influence of net assets attributed to shareholders cannot be ignored. In addition, cash flow in operating activities and executive stock holding both have relatively important effect on executive compensation. Research limitations/implications – This paper still has some limitations. First, it merely takes into account the financial indicators and ignores the influence of non-financial indicators to the performance evaluation of listed companies, such as: innovation ability, human capital and goodwill. Second, it has not considered the power consumption and other types of “invisible income” in the executive compensation structure, neither the influence of investing and financing activities on corporate performance. Consequently, these are likely to cause a certain deviation to the results of the study. Practical implications – The outcome obtained in this paper can be provided for China ports and listed shipping companies to establish a reasonable executive compensation evaluation and incentive mechanism under the background of depressed shipping market. Social implications – This paper intends to use correlation analysis between firm performance, executive stock holding, sustainability and executive compensation in the new area of time, tries to make a greater contribution to the major component of salary policy and then make some suggestions on incentive supervising and restraining mechanisms for the ports and listed shipping firms in China. Originality/value – Although scholars have done many studies about the association analysis of executive compensation and firm performance, they neglect the economic environment of industry. Meanwhile, considering the non-financial indicators and incomplete information, this paper studies the grey correlation analysis of executive compensation and influence factors in China ports and listed shipping firms under the background of the Chinese flagging shipping industry.

A cost-effectiveness assessment model using grey correlation analysis for power transformer selection based on life cycle cost

Kybernetes ◽  
2014 ◽  
Vol 43 (1) ◽  
pp. 5-23 ◽  
Author(s):  
Yiyi Zhang ◽  
Ruijin Liao ◽  
Lijun Yang ◽  
Xiaopin Deng ◽  
Huanchao Cheng ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Correlation Analysis ◽  
Life Cycle Cost ◽  
Power Transformer ◽  
Evaluation Model ◽  
Content Type ◽  
Grey Correlation ◽  
Investment Program ◽  
Investment Evaluation ◽  
Grey Correlation Analysis

Purpose – Statistics show that selecting the best investment program based on both cost and effectiveness can avoid financial losses. However, investment evaluation of a power transformer is full of uncertainty as it is hard to obtain accurate and useful cost-effectiveness results. Therefore, the purpose of the paper is to establish an investment evaluation model. Design/methodology/approach – The cost-effectiveness evaluation model in this study used grey correlation analysis for the power transformer selection based on life cycle cost (LCC). Indices of cost and effectiveness factors were chosen to form a three-level index system including quantitative and qualitative factors. Evidential reasoning was applied to quantify the qualitative indexes. Grey correlation analysis was applied to select the best investment program. Findings – The results from this study show that the proposed approach is effective and offers a new approach to evaluating transformer investment. Practical implications – The model was applied to an investing decision-making problem of the transformer in a new substation in Wuhan, China. Originality/value – It is very important to select the best transformer program in the candidate investment programs because the investment program decides almost 70 percent of the LCC of the power transformer.

Sign in / Sign up

Export Citation Format

Share Document