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Currently, there are opposing views on the issue of whether financial support plays a role in improving the human settlement. This article is dedicated to exploring the mutual influence of financial support and the improvement of human settlements from the perspective of coupling effects, and determining the characteristics of coupling and coordination to promote the sustainable development of China and developing countries. This paper uses the entropy method and the coupling coordination model to estimate the coupling and coordination types of financial support and human settlements in seven provinces in the middle and lower reaches of the Yangtze River from 2005 to 2018. In addition, the spatial autocorrelation model is adopted to determine the spatial agglomeration characteristics of the coupling and coordination of financial support and human settlements. All in all, this paper believes that financial support has improved the human settlements, and that there is a coupling effect. Specifically, the coupling coordination value of financial support and human settlements fluctuated from 0.034 to 0.436, showing an inverted U-shaped development trend as a whole. In addition, the correlation between financial support and the improvement of the human settlements is currently in the stage of barely balanced development, and there is a gap between benign and coordinated development. Secondly, the coupling and coordination between financial support and human settlements has significant spatial agglomeration characteristics, and the coupling effect in the eastern region is weaker than that in the western region. In particular, Jiangxi was mainly distributed as high to high agglomeration, and Jiangsu was mainly distributed as high to low agglomeration. It has formed a coupling and coordinated development area with Jiangsu-Jiangxi as the axis, radiating the development of adjacent areas. This research reveals the heterogeneity of financial support to the improvement of human settlements in different regions, portrays the coupling characteristics of financial support and the improvement of human settlements, and provides ideas for the coordinated development of the two.
Weimin Yan; Benhong Peng; Guo Wei; Anxia Wan. Is There Coupling Effect between Financial Support and Improvement of Human Settlement? A Case Study of the Middle and Lower Regions of the Yangtze River, China. Sustainability 2021, 13, 8131 .
AMA StyleWeimin Yan, Benhong Peng, Guo Wei, Anxia Wan. Is There Coupling Effect between Financial Support and Improvement of Human Settlement? A Case Study of the Middle and Lower Regions of the Yangtze River, China. Sustainability. 2021; 13 (15):8131.
Chicago/Turabian StyleWeimin Yan; Benhong Peng; Guo Wei; Anxia Wan. 2021. "Is There Coupling Effect between Financial Support and Improvement of Human Settlement? A Case Study of the Middle and Lower Regions of the Yangtze River, China." Sustainability 13, no. 15: 8131.
Two aspects of problems including selection of aggregation operator for extreme fuzzy evaluation value and risk attitude of decision makers cannot be well solved in Pythagorean fuzzy (PF) multiattribute group decision making (MAGDM). This paper extends the evidential reasoning aggregation method in the intuitionistic fuzzy environment, expands the dictionary ranking method by constructing interval-valued numbers through the proposed credibility functions of PF values and the concept of closeness degree, widens the continuous generalized ordered weighted average ( C - GOWA ) operator to establish a risk attitude ranking measure, and puts forward a PF MAGDM approach based on risk attitude and evidence reasoning methodology (ERM). First, the proposed method utilizes the ERM to aggregate each decision maker's decision matrix and the weights of the attributes to get his/her aggregated decision matrix. Then, it incorporates the obtained aggregated decision matrices of the experts, the weights of the experts and the ERM to accomplish the aggregated PF value of each alternative. Finally, the ranking measure value of risk attitude on each alternative's PF value is calculated, and the sensitivity analysis on the ranking measure function is carried out. The proposed method has overcome the drawbacks of the existing methods for fuzzy MAGDM in PF environments.
Benhong Peng; Chaoyu Zheng; Xuan Zhao; Guo Wei; Anxia Wan. Pythagorean fuzzy multiattribute group decision making based on risk attitude and evidential reasoning methodology. International Journal of Intelligent Systems 2021, 1 .
AMA StyleBenhong Peng, Chaoyu Zheng, Xuan Zhao, Guo Wei, Anxia Wan. Pythagorean fuzzy multiattribute group decision making based on risk attitude and evidential reasoning methodology. International Journal of Intelligent Systems. 2021; ():1.
Chicago/Turabian StyleBenhong Peng; Chaoyu Zheng; Xuan Zhao; Guo Wei; Anxia Wan. 2021. "Pythagorean fuzzy multiattribute group decision making based on risk attitude and evidential reasoning methodology." International Journal of Intelligent Systems , no. : 1.
Zaiwu Gong; Guo Wei; Mei Cai; Zhijie Sasha Dong. Guest editorial to the special issue: Big data analysis and management: climate economics, meteorological hazards and environmental risk. Natural Hazards 2021, 107, 2709 -2713.
AMA StyleZaiwu Gong, Guo Wei, Mei Cai, Zhijie Sasha Dong. Guest editorial to the special issue: Big data analysis and management: climate economics, meteorological hazards and environmental risk. Natural Hazards. 2021; 107 (3):2709-2713.
Chicago/Turabian StyleZaiwu Gong; Guo Wei; Mei Cai; Zhijie Sasha Dong. 2021. "Guest editorial to the special issue: Big data analysis and management: climate economics, meteorological hazards and environmental risk." Natural Hazards 107, no. 3: 2709-2713.
Floods are among the most deadly disasters that affect people's well-being and livelihoods in China. Although improving resilience to floods is an important measure for disaster mitigation, few studies compare flood resilience in different watershed regions in China. To fill this gap, we constructed a comprehensive evaluation model that focused on revising the indicator system. We used the entropy-weighting TOPSIS method to comprehensively consider the four dimensions of economy, society, environment, and management, and then we diagnosed the resilience to flood disasters in 31 key flood control cities across China. The results showed that both cities in the Haihe River Basin and the provincial capitals had a stronger resilience to flooding than other basins, but for the cities of the Huaihe River Basin, resilience was weaker. In some regions with weak economic strength, however, the resilience to floods was strong. The levels of urban infrastructure, water conservation projects, and information about water conservation should be enhanced to improve flood resilience.
Huiming Zhang; Jiayun Yang; Lianshui Li; Danyun Shen; Guo Wei; Haroon Ur Rashid Khan; SuJiang Dong. Measuring the resilience to floods: A comparative analysis of key flood control cities in China. International Journal of Disaster Risk Reduction 2021, 59, 102248 .
AMA StyleHuiming Zhang, Jiayun Yang, Lianshui Li, Danyun Shen, Guo Wei, Haroon Ur Rashid Khan, SuJiang Dong. Measuring the resilience to floods: A comparative analysis of key flood control cities in China. International Journal of Disaster Risk Reduction. 2021; 59 ():102248.
Chicago/Turabian StyleHuiming Zhang; Jiayun Yang; Lianshui Li; Danyun Shen; Guo Wei; Haroon Ur Rashid Khan; SuJiang Dong. 2021. "Measuring the resilience to floods: A comparative analysis of key flood control cities in China." International Journal of Disaster Risk Reduction 59, no. : 102248.
Due to climatic hazards and extreme weather events, the pricing of property insurance products is increasingly attracting the attention of policyholders, insurance companies, and governments. Pricing based on market-oriented methods has to consider the affecting factors from policyholders’ perceived value. Pricing strategy design generates the need for natural hazards risk assessments. A natural hazard risk assessment is closely related to the human factors of a disaster-bearing body. In response to this need, we design an extension of the expected utility that is inconsistent with the additive expected utility, considering the human factors of policyholders, which is referred to as the expected loss utility (ELU). The ELU presents two improvements of the currently used utility. First, subjective probability, which is derived from individual predictions over acts, is applied to the ELU function to overcome the disadvantage that objective probability attaches to uncertainty does not reflect the uncertainty of human factors. Policyholders’ risk attitudes are reflected by the interpretation of interactions among uncertain events. Second, the hesitant fuzzy linguistic preference relation (HFLPR) is employed as the assessment of individual loss evaluation to reflect a policyholder’s hesitation. We apply the techniques of fuzzy linguistic term aggregation and perform a comparison to simplify our loss utility function. A detailed process of expected loss assessment is proposed due to variations in natural environment factors, local social characteristics, and disaster-bearing body factors. An illustrative example is given to perform a comparison with cumulative prospect theory to show the merits of the ELU. This study quantifies policyholder’s cognition of uncertain event and the cognition’s influence on risk assessment which can guide pricing strategy of property insurance products.
Mei Cai; Wenfei Xiu; Guo Wei. Expected loss utility for natural hazards and its application in pricing property insurance products. Environment Systems and Decisions 2021, 41, 377 -391.
AMA StyleMei Cai, Wenfei Xiu, Guo Wei. Expected loss utility for natural hazards and its application in pricing property insurance products. Environment Systems and Decisions. 2021; 41 (3):377-391.
Chicago/Turabian StyleMei Cai; Wenfei Xiu; Guo Wei. 2021. "Expected loss utility for natural hazards and its application in pricing property insurance products." Environment Systems and Decisions 41, no. 3: 377-391.
Environmental protection and economic development seem to be controversial, and there have been opposite views for a long time. Hence, in this article, representative indicators of economy and environment are selected to analyze the external correlation and the internal relationship between environment and economy from the perspective of coupling coordination. The results show that environmental protection may slow down economic growth in the short term. However, their correlation becomes increasingly stronger with higher degree of coupling, and as the result in the long run, environmental protection can gradually improve the infrastructure of economic development, and environmental and economic development will become more closely coordinated in promoting green economic development. It is demonstrated that an effective way to promoting economic development is to promote scientific and technological innovation and cultivate high-end talents and improve regional cooperation, which can reduce the negative effect of environmental protection on economic development. It is also necessary to enhance the positive impact of environmental protection on economic development by transforming the mode of economic development, developing the environmental protection industry, and raising people’s awareness of environmental protection. Thus, the coupling coordination between environment and economy can sustain, with both continuously bolstered.
Benhong Peng; Xin Sheng; Guo Wei. Does environmental protection promote economic development? From the perspective of coupling coordination between environmental protection and economic development. Environmental Science and Pollution Research 2020, 27, 39135 -39148.
AMA StyleBenhong Peng, Xin Sheng, Guo Wei. Does environmental protection promote economic development? From the perspective of coupling coordination between environmental protection and economic development. Environmental Science and Pollution Research. 2020; 27 (31):39135-39148.
Chicago/Turabian StyleBenhong Peng; Xin Sheng; Guo Wei. 2020. "Does environmental protection promote economic development? From the perspective of coupling coordination between environmental protection and economic development." Environmental Science and Pollution Research 27, no. 31: 39135-39148.
To help minimize urban industrial water consumption and realize the goal of a water-saving society, this paper develops a method for the dynamic optimization of the input production factors in an urban industrial water supply model. A negative exponential curve describes the urban industrial water consumption per Yuan of urban industrial value added, the latter being described by a Gompertz curve. The product of the two describes the urban industrial water demand. The production function of urban industrial water supply is expressed by the fixed substitution proportional production function. Taking investment and labor input as control variables, the system goal is to balance of industrial water supply and demand. The time-varying model can not only solve the stable state problem for infinite time horizon, but also the transient problem for finite time horizon. Taking Jiangsu province in eastern China as an example, the applicability of the method was investigated under different parameter combinations. The simulation results show its effectiveness in these cases. In the earlier period, meeting balance requirements is easier using the straight-line capital depreciation method. In the later period, the fixed rate on declining balance method allows to meet the requirements more easily. In general, it is easier to achieve the goal by choosing a smaller and feasible weight matrix coefficient of the control variables.
Kebai Li; Samlali Hajar; Zhilei Ding; Tom Dooling; Guo Wei; Chenke Hu; Yuting Zhang; Kaiyi Zhang. Dynamic optimization of input production factors for urban industrial water supply and demand management. Journal of Environmental Management 2020, 270, 110807 .
AMA StyleKebai Li, Samlali Hajar, Zhilei Ding, Tom Dooling, Guo Wei, Chenke Hu, Yuting Zhang, Kaiyi Zhang. Dynamic optimization of input production factors for urban industrial water supply and demand management. Journal of Environmental Management. 2020; 270 ():110807.
Chicago/Turabian StyleKebai Li; Samlali Hajar; Zhilei Ding; Tom Dooling; Guo Wei; Chenke Hu; Yuting Zhang; Kaiyi Zhang. 2020. "Dynamic optimization of input production factors for urban industrial water supply and demand management." Journal of Environmental Management 270, no. : 110807.
Meteorological disasters have become a global challenge due to the increased prevalence and severity, and China is among the most affected countries. In this paper, based on a randomized survey in China, the authors employed a structural equation model to study the influencing factors of public participation in meteorological disaster prevention and mitigation (MDPM). It is found that the behavior of the government has a significant positive influence, with an influencing coefficient of 0.494 on the public’s willingness to participate in MDPM. The degree of community involvement also has a significant positive influence on the public’s willingness, with an influencing coefficient of 0.636. The public’s attention to meteorological events and ability to participate have less impact on their participation in MDPM, with coefficients of 0.057 and 0.075, respectively. The information acquisition has a significant negative impact, with an influencing coefficient of −0.084. There is a strong positive covariation between community participation and governmental behavior, with a covariance coefficient of 0.27, indicating that the two factors promote each other and together boost the public’s willingness to participate in MDPM.
Rongrong Duan; Jun Liu; Changkai Wang; Guo Wei. Influencing Factors of Public Participation in Meteorological Disaster Prevention and Mitigation. Sustainability 2020, 12, 3108 .
AMA StyleRongrong Duan, Jun Liu, Changkai Wang, Guo Wei. Influencing Factors of Public Participation in Meteorological Disaster Prevention and Mitigation. Sustainability. 2020; 12 (8):3108.
Chicago/Turabian StyleRongrong Duan; Jun Liu; Changkai Wang; Guo Wei. 2020. "Influencing Factors of Public Participation in Meteorological Disaster Prevention and Mitigation." Sustainability 12, no. 8: 3108.
The emission of particulate matter (PM) and other atmospheric pollutants in port operations and shipping have caused a huge negative impact on the environment. Consequently, how to evaluate the environmental efficiency of ports and put forward corresponding countermeasures on this basis is becoming a more important issue than ever before from the perspectives of the government, academia, and society. We construct three data envelopment analysis (DEA) models to evaluate the environmental efficiency of ports under the circumstances of environmental control, non-environmental control and PM emission through inter-ports cooperation. The innovation of the DEA models constructed in this paper lies in: (1) Setting environmental control parameters to uniformly manipulate the situations of environmental control and non-environmental control, etc.; (2) Allowing non-equal proportional change of input index, expected output and non-expected output index; (3) Setting preference coefficients for ports to admit favorable decisions; (4) Providing a distance formula of expected output for PM emission reallocation. Further, data from 11 major ports in China are collected to compare the expected output under different PM emission standards assuming the situation of environmental control and non-environmental control, port cooperation, and non-cooperative sewage discharge. The empirical results show that: (1) Ports in the eastern China (Shanghai, Ningbo, and Nanjing) have higher port efficiency; (2) Port cooperation can improve the overall expected output but it will lose its edge with the improvement of PM emission standards. (3) Ports follow the same trend of output loss regardless of favorable decisions. In the end, the author makes a summary, puts forward relevant policy suggestions and makes the recommendation for future research.
Zhijie Wang; Xianhua Wu; Ji Guo; Guo Wei; Thomas A. Dooling. Efficiency evaluation and PM emission reallocation of China ports based on improved DEA models. Transportation Research Part D: Transport and Environment 2020, 82, 102317 .
AMA StyleZhijie Wang, Xianhua Wu, Ji Guo, Guo Wei, Thomas A. Dooling. Efficiency evaluation and PM emission reallocation of China ports based on improved DEA models. Transportation Research Part D: Transport and Environment. 2020; 82 ():102317.
Chicago/Turabian StyleZhijie Wang; Xianhua Wu; Ji Guo; Guo Wei; Thomas A. Dooling. 2020. "Efficiency evaluation and PM emission reallocation of China ports based on improved DEA models." Transportation Research Part D: Transport and Environment 82, no. : 102317.
Haze pollution is a key obstacle for environmental management faced by China and many other developing countries. The survey on residential families’ economic losses and willingness to pay (WTP) are regarded as an essential reference for the implementation of environmental policies for haze treatment. For Jiangsu province of China, the authors of this paper first conducted three qualitative interviews with respectively meteorologists, meteorological administrators, and residents, a questionnaire was then elaborately designed, and subsequent surveys of 1123 families were administered in Jiangsu province. Further, the authors investigated measurements of direct economic losses by using the contingent valuation method (CVM) and explored influential factors of WTP by utilizing the binary logistic regression. From this survey, the estimated total economic loss incurred by haze disasters and total treatment cost for haze-related diseases were respectively 22.38 billion (in RMB) and 8.4 billion for Jiangsu province. 55.9% of residential families were willing to pay 11.6 billion RMB annually (51.97% of total loss) for haze treatment, leaving a shortage of 11.05 billion RMB, which the government is responsible to pay. These findings provide empirical information reflecting the opinions of communities and residential families, useful for the governments and industrial sectors to design environmental policies to meet the requirements of the public and control environmental pollution in an effective way to achieve sustainable development.
Xianhua Wu; Ji Guo; Guo Wei; Yi Zou. Economic losses and willingness to pay for haze: the data analysis based on 1123 residential families in Jiangsu province, China. Environmental Science and Pollution Research 2020, 27, 17864 -17877.
AMA StyleXianhua Wu, Ji Guo, Guo Wei, Yi Zou. Economic losses and willingness to pay for haze: the data analysis based on 1123 residential families in Jiangsu province, China. Environmental Science and Pollution Research. 2020; 27 (15):17864-17877.
Chicago/Turabian StyleXianhua Wu; Ji Guo; Guo Wei; Yi Zou. 2020. "Economic losses and willingness to pay for haze: the data analysis based on 1123 residential families in Jiangsu province, China." Environmental Science and Pollution Research 27, no. 15: 17864-17877.
As the development of social networks tends to shape people’s view about choices, decision making theories are challenged by numerous unprecedented difficulties, from both the theories and practice. One hot topic is how to design a voting mechanism for talent shows in mass media that not only attracts public attention but also reflects an objective and fair principle. Weighted voting, where the voting power of a representative is proportional to the population in his or her district, has been widely adopted in legislative selections and talent show competitions. However, weighted voting system may cause disenfranchisement of some representatives and reduce the entertainment and interest of talent shows because of the ignorance of complex interactions among the representatives. In this paper, possible interactions among representatives are analyzed by investigating the associated social networks and subsequently some fuzzy measures are utilized to quantify these interactions. Specifically, the weights determination model is adopted in this situation for defining fuzzy measures to avoid the disenfranchisement, and a multiple-group hierarchy decision model is developed to solve social network group decision making problems where the Choquet integral is employed to reduce the impact from synergy and redundancy between representatives. Moreover, a voting mechanism for talent shows in mass media is provided. Finally, an illustrative example, and a close look at the current algorithmic issues and future trends from different angles are provided.
Mei Cai; Li Yan; Zaiwu Gong; Guo Wei. A Voting Mechanism Designed for Talent Shows in Mass Media: Weighted Preference of Group Decision Makers in Social Networks Using Fuzzy Measures and Choquet Integral. Group Decision and Negotiation 2020, 1 -24.
AMA StyleMei Cai, Li Yan, Zaiwu Gong, Guo Wei. A Voting Mechanism Designed for Talent Shows in Mass Media: Weighted Preference of Group Decision Makers in Social Networks Using Fuzzy Measures and Choquet Integral. Group Decision and Negotiation. 2020; ():1-24.
Chicago/Turabian StyleMei Cai; Li Yan; Zaiwu Gong; Guo Wei. 2020. "A Voting Mechanism Designed for Talent Shows in Mass Media: Weighted Preference of Group Decision Makers in Social Networks Using Fuzzy Measures and Choquet Integral." Group Decision and Negotiation , no. : 1-24.
Retailers usually sell complementary products jointly with a discounted price to attract more consumers. However, the difference of complementary degree between products leads to the diversity of pricing. In parallel, with the development of green supply chains, the extra cost of manufacturers to conduct ecological product design makes the pricing of complementary products further complicated. Thus, it is important to clarify the pricing strategy for complementary products in a green supply chain. Based on the Stackelberg games between two manufacturers and a retailer, this paper constructs three pricing models to simultaneously analyze the changes in the optimal profits of supply chain members and the optimal green manufacturing degree of complementary products. The results demonstrate that: (i) In most cases, two manufacturers prefer the pure bundling pricing strategy, but the strategy preference of the retailer is complex. (ii) The green manufacturing is mutually beneficial for complementary manufacturers and worth advocating. (iii) The increasing sensitivity of consumers to the green manufacturing level of one product will also be detrimental to the improvement of the optimal green manufacturing level of its complementary products.
Haiyan Shan; Chen Zhang; Guo Wei. Bundling or Unbundling? Pricing Strategy for Complementary Products in a Green Supply Chain. Sustainability 2020, 12, 1331 .
AMA StyleHaiyan Shan, Chen Zhang, Guo Wei. Bundling or Unbundling? Pricing Strategy for Complementary Products in a Green Supply Chain. Sustainability. 2020; 12 (4):1331.
Chicago/Turabian StyleHaiyan Shan; Chen Zhang; Guo Wei. 2020. "Bundling or Unbundling? Pricing Strategy for Complementary Products in a Green Supply Chain." Sustainability 12, no. 4: 1331.
An extended total factor productivity method is developed for measuring the quality of economic growth (QEG). Specifically, criteria for judging the QEG are first elaborated using endogenous economic growth theory, and subsequently, an assessment index system for evaluating QEG is constructed. In this system, the production factors primarily include labor, material capital, education, medical and health, environmental resource, and social security, while the output indexes comprise the gross domestic product (GDP), employment rate, income gap, and environmental pollution. In the empirical study, the directional distance function and Global Malmquist-Luenberger index are implemented to examine the QEG in China from 2000 to 2016 by provinces, regions, and factor decomposition, respectively. The global scale technological change and global pure technological change are the main sources for improving the QEG. The results also reveal a considerable widespread inefficiency and uneven development of the QEG. In general, from the eastern to western to central regions, the QEG becomes noticeably lower; The investment level is not only a driving force for economic growth, but also a source for boosting the QEG. These findings will provide a reference for China in adjusting relevant investments, ameliorating environmental conditions, and accomplishing the unity of quantity, quality, and efficiency in economic growth.
Shaofeng Ru; Jiaqi Liu; Tonghui Wang; Guo Wei. Provincial Quality of Economic Growth: Measurements and Influencing Factors for China. Sustainability 2020, 12, 1354 .
AMA StyleShaofeng Ru, Jiaqi Liu, Tonghui Wang, Guo Wei. Provincial Quality of Economic Growth: Measurements and Influencing Factors for China. Sustainability. 2020; 12 (4):1354.
Chicago/Turabian StyleShaofeng Ru; Jiaqi Liu; Tonghui Wang; Guo Wei. 2020. "Provincial Quality of Economic Growth: Measurements and Influencing Factors for China." Sustainability 12, no. 4: 1354.
Green technology innovation is the strategy adopted by the manufacturing industry in implementing green innovation. Choosing the right green technology innovation path is crucial to the development of green innovation in manufacturing industry. From the perspective of niche theory, the paper constructs the green technology innovation trend indicators of manufacturing industry, and builds a multi-layer comprehensive evaluation model by using cloud model tools. Taking the green technology of manufacturing industry in Jiangsu Province as an example, the empirical analysis reveals that from 2012 to 2016, Jiangsu Province manufactures. The ecostate value of green technology innovation has been continuously improving, while the ecorole value has fluctuated. The comprehensive niche score has gradually boosted, indicating that the overall development trend of manufacturing green technology innovation capability in Jiangsu Province goes well. When advancing the level of innovation and formulating green technology innovation capability promotion strategies, macro-control and supervision for Jiangsu Province’s manufacturing green technologies should be emphasized, environmental management optimized, stimulation of green innovative talents strengthened, and green technology R&D and service centers intensified. Create a symbiotic environment, increase cooperation between enterprises, and the government, build a green innovation and cultivation mechanism for manufacturing, and facilitate sustainable development with creative approaches in Jiangsu Province.
Benhong Peng; Chaoyu Zheng; Guo Wei; Ehsan Elahi. The cultivation mechanism of green technology innovation in manufacturing industry: From the perspective of ecological niche. Journal of Cleaner Production 2019, 252, 119711 .
AMA StyleBenhong Peng, Chaoyu Zheng, Guo Wei, Ehsan Elahi. The cultivation mechanism of green technology innovation in manufacturing industry: From the perspective of ecological niche. Journal of Cleaner Production. 2019; 252 ():119711.
Chicago/Turabian StyleBenhong Peng; Chaoyu Zheng; Guo Wei; Ehsan Elahi. 2019. "The cultivation mechanism of green technology innovation in manufacturing industry: From the perspective of ecological niche." Journal of Cleaner Production 252, no. : 119711.
Postpartum depression (PPD), a severe form of clinical depression, is a serious social problem. Fortunately, most women with PPD are likely to recover if the symptoms are recognized and treated promptly. We designed two test data and six classifiers based on 586 questionnaires collected from a county in North Carolina from 2002 to 2005. We used the C4.5 decision tree (DT) algorithm to form decision trees to predict the degree of PPD. Our study established the roles of attributes of the Postpartum Depression Screening Scale (PDSS), and devised the rules for classifying PPD using factor analysis based on the participants’ scores on the PDSS questionnaires. The six classifiers discard the use of PDSS Total and Short Total and make extensive use of demographic attributes contained in the PDSS questionnaires. Our research provided some insightful results. When using the short form to detect PPD, demographic information can be instructive. An analysis of the decision trees established the preferred sequence of attributes of the short form of PDSS. The most important attribute set was determined, which should make PPD prediction more efficient. Our research hopes to improve early recognition of PPD, especially when information or time is limited, and help mothers obtain timely professional medical diagnosis and follow-up treatments to minimize the harm to families and societies.
Mei Cai; Yiming Wang; Qian Luo; Guo Wei. Factor Analysis of the Prediction of the Postpartum Depression Screening Scale. International Journal of Environmental Research and Public Health 2019, 16, 5025 .
AMA StyleMei Cai, Yiming Wang, Qian Luo, Guo Wei. Factor Analysis of the Prediction of the Postpartum Depression Screening Scale. International Journal of Environmental Research and Public Health. 2019; 16 (24):5025.
Chicago/Turabian StyleMei Cai; Yiming Wang; Qian Luo; Guo Wei. 2019. "Factor Analysis of the Prediction of the Postpartum Depression Screening Scale." International Journal of Environmental Research and Public Health 16, no. 24: 5025.
The vulnerability of ecological environment threatens social and economic development. Recent studies failed to reveal the driving mechanism behind it, and there is little analysis on the spatial clustering characteristics of the vulnerability of urban agglomerations. Therefore, this article estimates ecological environment vulnerability in 2005, 2011, and 2017, determines Moran Index (MI) with spatial autocorrelation model, analyzes the spatial-temporal difference characteristics of ecological environment vulnerability of Yangtze River Urban Agglomeration and the spatial aggregation effect, and discusses its driving factors. The study results estimate that the overall vulnerability index of the Yangtze River Urban Agglomeration is in a mild fragile state. However, most fragile and slightly fragile cities are developing in the direction of moderate to severe vulnerability. The spatial agglomeration effect of the ecological environment vulnerability of the Yangtze River Urban Agglomeration is not obvious, and the effect of mutual ecological environment influence among cities is not obvious. Moreover, the driving factors of ecological environment vulnerability of Yangtze River city group changed from natural factors to social economic factors and then to policy factors. It is necessary to develop an ecological economy, coordinate the spatial agglomeration of urban agglomerations, and make balance the internal differences of urban agglomerations.
Benhong Peng; Qianqian Huang; Ehsan Elahi; Guo Wei. Ecological Environment Vulnerability and Driving Force of Yangtze River Urban Agglomeration. Sustainability 2019, 11, 6623 .
AMA StyleBenhong Peng, Qianqian Huang, Ehsan Elahi, Guo Wei. Ecological Environment Vulnerability and Driving Force of Yangtze River Urban Agglomeration. Sustainability. 2019; 11 (23):6623.
Chicago/Turabian StyleBenhong Peng; Qianqian Huang; Ehsan Elahi; Guo Wei. 2019. "Ecological Environment Vulnerability and Driving Force of Yangtze River Urban Agglomeration." Sustainability 11, no. 23: 6623.
Cascading disasters are a critical part of the disaster study. However, due to problems such as information incompleteness and small-sample, probability distribution functions cannot be derived based on the frequency approach. Fortunately, the uncertainty theory, designated for treating the above situations, provides a way for dealing with the problem through subjective estimations achieved by simulating uncertainty variables. This paper studies the cascading disasters risk modeling with the uncertainty theory and simulates inducing risk by using linear uncertainty distributions. To obtain the minimum early warning value and the maximum belief degree of a disaster system, a cascading disaster risk model is proposed in this paper with the characteristics of the series, parallel, and mixed risk. In addition, the early warning value represents the risk threshold of the cascading disaster system, while the belief degree represents the possibility of the cascading disaster system in a safe state under a certain early warning value level.
Zaiwu Gong; Yiming Wang; Guo Wei; Lianshui Li; Weiwei Guo. Cascading disasters risk modeling based on linear uncertainty distributions. International Journal of Disaster Risk Reduction 2019, 43, 101385 .
AMA StyleZaiwu Gong, Yiming Wang, Guo Wei, Lianshui Li, Weiwei Guo. Cascading disasters risk modeling based on linear uncertainty distributions. International Journal of Disaster Risk Reduction. 2019; 43 ():101385.
Chicago/Turabian StyleZaiwu Gong; Yiming Wang; Guo Wei; Lianshui Li; Weiwei Guo. 2019. "Cascading disasters risk modeling based on linear uncertainty distributions." International Journal of Disaster Risk Reduction 43, no. : 101385.
Interval operations, as currently defined, suffer from the problem of not satisfying the conditions of global complementarity and consistency of interval fuzzy preference relations (IFPRs). In this paper, we resolve this difficulty by constructing linear uncertain preference relations (LUPRs). By considering all the information and the uncertain distribution of an interval, we propose the concept of uncertain preference relations (UPRs) for the first time. Then we apply uncertainty distributions to characterize interval judgments that are considered as a whole to participate in the uncertain operation to achieve the desired conditions of global complementarity and consistency. Based on this, we prove that IFPRs and the definitions of their additive consistency are special cases of those of LUPRs. Moreover, we investigate two types of consensus models developed based on LUPRs between the minimum deviation and belief degree. We prove that the minimum deviation is a linear, increasing function of the belief degree, and then establish sufficient and necessary conditions for the consensus model to satisfy additive consistency. Finally, the LUPRs models presented in this paper is applied, incorporating with expert assistance in decision-making, to the sensitivity assessment of the meteorological industry in a region of China, and the LUPRs models can be utilized to obtain results with smaller deviations.
Zaiwu Gong; Weiwei Guo; Enrique Herrera-Viedma; Zejun Gong; Guo Wei. Consistency and consensus modeling of linear uncertain preference relations. European Journal of Operational Research 2019, 283, 290 -307.
AMA StyleZaiwu Gong, Weiwei Guo, Enrique Herrera-Viedma, Zejun Gong, Guo Wei. Consistency and consensus modeling of linear uncertain preference relations. European Journal of Operational Research. 2019; 283 (1):290-307.
Chicago/Turabian StyleZaiwu Gong; Weiwei Guo; Enrique Herrera-Viedma; Zejun Gong; Guo Wei. 2019. "Consistency and consensus modeling of linear uncertain preference relations." European Journal of Operational Research 283, no. 1: 290-307.
In order to meet the needs of water-saving society development, the system dynamics method and the Cobb–Douglas (C–D) production function were combined to build a supply and demand model for urban industrial water use. In this model, the industrial water demand function is expressed as the sum of the general industrial water demand and the power industry water demand, the urban water supply function is expressed as the Cobb–Douglas production function, investment and labor input are used as the control variables, and the difference between supply and demand in various situations is simulated by adjusting their values. In addition, the system simulation is conducted for Suzhou City, Jiangsu Province, China, with 16 sets of different, carefully designed investment and labor input combinations for exploring a most suitable combination of industrial water supply and demand in Suzhou. We divide the results of prediction into four categories: supply less than demand, supply equals demand, supply exceeds demand, and supply much larger than demand. The balance between supply and demand is a most suitable setting for Suzhou City to develop, and the next is the type in which the supply exceeds demand. The other two types cannot meet the development requirements. We concluded that it is easier to adjust the investment than to adjust the labor input when adjusting the control variables to change the industrial water supply. While drawing the ideal combination of investment and labor input, a reasonable range of investment and labor input is also provided: the scope of investment adjustment is , and the adjustment range of labor input is .
Kebai Li; Tianyi Ma; Guo Wei; Yuqian Zhang. Urban Industrial Water Supply and Demand: System Dynamic Model and Simulation Based on Cobb–Douglas Function. Sustainability 2019, 11, 5893 .
AMA StyleKebai Li, Tianyi Ma, Guo Wei, Yuqian Zhang. Urban Industrial Water Supply and Demand: System Dynamic Model and Simulation Based on Cobb–Douglas Function. Sustainability. 2019; 11 (21):5893.
Chicago/Turabian StyleKebai Li; Tianyi Ma; Guo Wei; Yuqian Zhang. 2019. "Urban Industrial Water Supply and Demand: System Dynamic Model and Simulation Based on Cobb–Douglas Function." Sustainability 11, no. 21: 5893.
SG-Bézier curves have become a useful tool for shape design and geometric representation in computer aided design (CAD), owed to their good geometric properties, e.g., symmetry and convex hull property. Aiming at the problem of approximate degree reduction of SG-Bézier curves, a method is proposed to reduce the n-th SG-Bézier curves to m-th (m < n) SG-Bézier curves. Starting from the idea of grey wolf optimizer (GWO) and combining the geometric properties of SG-Bézier curves, this method converts the problem of multi-degree reduction of SG-Bézier curves into solving an optimization problem. By choosing the fitness function, the approximate multi-degree reduction of SG-Bézier curves with adjustable shape parameters is realized under unrestricted and corner interpolation constraints. At the same time, some concrete examples of degree reduction and its errors are given. The results show that this method not only achieves good degree reduction effect, but is also easy to implement and has high accuracy.
Gang Hu; Yu Qiao; Xinqiang Qin; Guo Wei; Hu; Qiao; Qin; Wei. Approximate Multi-Degree Reduction of SG-Bézier Curves Using the Grey Wolf Optimizer Algorithm. Symmetry 2019, 11, 1242 .
AMA StyleGang Hu, Yu Qiao, Xinqiang Qin, Guo Wei, Hu, Qiao, Qin, Wei. Approximate Multi-Degree Reduction of SG-Bézier Curves Using the Grey Wolf Optimizer Algorithm. Symmetry. 2019; 11 (10):1242.
Chicago/Turabian StyleGang Hu; Yu Qiao; Xinqiang Qin; Guo Wei; Hu; Qiao; Qin; Wei. 2019. "Approximate Multi-Degree Reduction of SG-Bézier Curves Using the Grey Wolf Optimizer Algorithm." Symmetry 11, no. 10: 1242.