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Lack of hydrogen refueling stations (HRSs) has hindered the diffusion of hydrogen fuel cell vehicles (HFCVs) in the Chinese transport market. By combining the agent-based model (ABM) and the experience weighted attraction (EWA) learning algorithm, this paper explores the impact of government subsidy strategy for HRSs on the market diffusion of HFCVs. The actions of the parties (government, HRS planning department and consumers) and their interactions are taken into account. The new model suggests dynamic subsidy mode based on EWA algorithm yields better results than static subsidy mode: HFCV purchases, HRS construction effort, total number of HRSs and expected HRS planning department profits all outperform static data by around 27%. In addition, choosing an appropriate initial subsidy strategy can increase the sales of HFCVs by nearly 40%. Early investment from government to establish initial HRSs can also increase market diffusion efficiency by more than 76.7%.
Zhi Li; Wenju Wang; Meng Ye; Xuedong Liang. The impact of hydrogen refueling station subsidy strategy on China's hydrogen fuel cell vehicle market diffusion. International Journal of Hydrogen Energy 2021, 46, 18453 -18465.
AMA StyleZhi Li, Wenju Wang, Meng Ye, Xuedong Liang. The impact of hydrogen refueling station subsidy strategy on China's hydrogen fuel cell vehicle market diffusion. International Journal of Hydrogen Energy. 2021; 46 (35):18453-18465.
Chicago/Turabian StyleZhi Li; Wenju Wang; Meng Ye; Xuedong Liang. 2021. "The impact of hydrogen refueling station subsidy strategy on China's hydrogen fuel cell vehicle market diffusion." International Journal of Hydrogen Energy 46, no. 35: 18453-18465.
Bike-sharing is being widely used in many cities in China and gradually penetrated people's daily habits. However, because there are so many bicycle providers in the market, companies need to develop differentiated service strategies to compete in this homogenized market. Therefore, this paper examined the current bike-sharing enterprise service level in Chengdu, constructed a evaluation index system with 17 indicators under four main dimensions: perceptibility, availability, reliability, and sustainability; Developed a multi-stage hybrid fuzzy best and worst method (BWM) and Visekriterijumska Optimizacija i Kompromisno Resenje (VIKOR) method to evaluate bike-sharing service levels, understand user perceptions, and enable decision-makers to make more accurate and reliable judgments under uncertain conditions. This research provided a new comprehensive decision-making tool that the evaluation results could help managers improve their performances targeted, provide users with higher quality products and services, and contribute to the long-term development of companies.
Xuedong Liang; Ting Chen; Meng Ye; Huirong Lin; Zhi Li. A hybrid fuzzy BWM-VIKOR MCDM to evaluate the service level of bike-sharing companies: A case study from Chengdu, China. Journal of Cleaner Production 2021, 298, 126759 .
AMA StyleXuedong Liang, Ting Chen, Meng Ye, Huirong Lin, Zhi Li. A hybrid fuzzy BWM-VIKOR MCDM to evaluate the service level of bike-sharing companies: A case study from Chengdu, China. Journal of Cleaner Production. 2021; 298 ():126759.
Chicago/Turabian StyleXuedong Liang; Ting Chen; Meng Ye; Huirong Lin; Zhi Li. 2021. "A hybrid fuzzy BWM-VIKOR MCDM to evaluate the service level of bike-sharing companies: A case study from Chengdu, China." Journal of Cleaner Production 298, no. : 126759.
As the construction industry generates more than 30% of global greenhouse gases and more than 40% of global urban waste every year, energy conservation and emission reduction has become extremely important. This study proposes an innovative output system that includes undesirable carbon dioxide and construction waste outputs. A three-stage DEA-Malmquist model is used to measure the energy efficiency of the construction industry in 30 Chinese provinces from 2008 to 2017, and a stochastic frontier method is used in the second stage to analyze and remove the energy efficiency influences of environmental factors and random errors. It was found that the total factor energy efficiency change (TFEECH) and technology change (TECH) in China’s construction industry was underestimated because of the environmental factors and random errors. GRP per capita, energy consumption structures, industrial development degrees, and industrial concentrations were all found to play a positive role in improving energy efficiency; however, urbanization levels, technical equipment, policy support, and marketization were found to have a negative effect. Policy suggestions are given based on the empirical results.
Xuedong Liang; Shifeng Lin; Xueyao Bi; Enfan Lu; Zhi Li. Chinese construction industry energy efficiency analysis with undesirable carbon emissions and construction waste outputs. Environmental Science and Pollution Research 2020, 28, 15838 -15852.
AMA StyleXuedong Liang, Shifeng Lin, Xueyao Bi, Enfan Lu, Zhi Li. Chinese construction industry energy efficiency analysis with undesirable carbon emissions and construction waste outputs. Environmental Science and Pollution Research. 2020; 28 (13):15838-15852.
Chicago/Turabian StyleXuedong Liang; Shifeng Lin; Xueyao Bi; Enfan Lu; Zhi Li. 2020. "Chinese construction industry energy efficiency analysis with undesirable carbon emissions and construction waste outputs." Environmental Science and Pollution Research 28, no. 13: 15838-15852.
China’s logistics industry has developed rapidly recently, but it also faces problems such as high costs, low efficiency and excessive carbon emissions, which has caused a heavy burden on the environment. However, there are few studies on the consideration of carbon emission factors in logistics performance evaluation. To this end, this study developed a comprehensive evaluation index system to assess the performance of China’s logistics. Principal Component Analysis (PCA) was applied to reduce the indicator dimensions and then a Slacks-Based Measure-Data Envelopment Analysis (SBM-DEA) was employed to measure and evaluate the logistics performance with and without carbon emissions constraints of 30 provinces/municipalities in China and analyze the overall level and spatial characteristics of China’s logistics industry efficiency. Regression analyses using the Tobit model were then conducted to identify the driving factors. The results show that: (1) There are large regional differences in China’s logistics efficiency, showing a gradual decline from east to west regions; (2) Low scale efficiency is an important factor restricting the logistics development; (3) In terms of influencing factors, regional economic and logistics development are positively related to the logistics efficiency, and energy structure and government influence are negatively related to the logistics efficiency.
Fumin Deng; Lin Xu; Yuan Fang; Qunxi Gong; Zhi Li. PCA-DEA-tobit regression assessment with carbon emission constraints of China’s logistics industry. Journal of Cleaner Production 2020, 271, 122548 .
AMA StyleFumin Deng, Lin Xu, Yuan Fang, Qunxi Gong, Zhi Li. PCA-DEA-tobit regression assessment with carbon emission constraints of China’s logistics industry. Journal of Cleaner Production. 2020; 271 ():122548.
Chicago/Turabian StyleFumin Deng; Lin Xu; Yuan Fang; Qunxi Gong; Zhi Li. 2020. "PCA-DEA-tobit regression assessment with carbon emission constraints of China’s logistics industry." Journal of Cleaner Production 271, no. : 122548.
Because of the urgent need to protect the environment, it has become vital to deal with the dangers and particularities associated with the growth in hazardous industrial waste. Governments have begun to expand their investments in the environmental protection industry and have tightened enterprise environmental management requirements. The 13th Five-Year Plan period in China, in particular, increased the focus on the environmental supervision and enterprise environmental management. Because of the specific qualities of many types of hazardous waste, most enterprises do not have the ability to process hazardous waste and therefore must outsource the disposal to third-party contractors. However, choosing suitable hazardous waste disposal enterprises (HWDE) can be difficult. Therefore, to assist in the selection of appropriate hazardous waste disposal enterprises, this paper developed a comprehensive evaluation index system for hazardous waste disposal enterprises (EISHWDE). As multi-criteria decision-making problems involve qualitative evaluations that have semantic ambiguity, hesitant fuzzy linguistic term sets (HFLTS) were introduced to increase the accuracy of the evaluation process, an analytic hierarchy process (AHP) used to determine the objective indicator weights, and PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) employed to determine the final order for the selected enterprises. This research developed a scientific evaluation model that industrial waste enterprises (IWE) and related organizations could use to objectively and systematically select suitable hazardous waste disposal enterprises. Then, the problems of uncertainty and fuzzy semantics in the evaluation process were solved, and the weight of each selection criteria and the ranking of alternative enterprises are given.
Xuedong Liang; Jinrui Miao; Yanjie Li; Xu Yang; Zhi Li. Hazardous Waste Disposal Enterprise Selection in China Using Hesitant Fuzzy PROMETHEE. International Journal of Environmental Research and Public Health 2020, 17, 4309 .
AMA StyleXuedong Liang, Jinrui Miao, Yanjie Li, Xu Yang, Zhi Li. Hazardous Waste Disposal Enterprise Selection in China Using Hesitant Fuzzy PROMETHEE. International Journal of Environmental Research and Public Health. 2020; 17 (12):4309.
Chicago/Turabian StyleXuedong Liang; Jinrui Miao; Yanjie Li; Xu Yang; Zhi Li. 2020. "Hazardous Waste Disposal Enterprise Selection in China Using Hesitant Fuzzy PROMETHEE." International Journal of Environmental Research and Public Health 17, no. 12: 4309.
Rapid industrialization and urbanization has led to a rapid increase in global embodied metal trading across the globe, and simultaneously the demand to study the complex trade activities among various economies has also increased. Responding to this demand, this paper selected the world multi-regional input-output (MRIO) table in 2009 as the bases for its attempt to explore global embodied metal flows in international trade by a combination of multi-regional input-output analysis and complex network analysis. Then we applied the complex network theory to study the structural characteristics of the global embodied metal flow network (GEMFN). The results show that, firstly, the global metal flow network has obvious small-world nature. One department only needs 2.702 steps to reach any other department in the network. Secondly, there are 10 communities in the network, which is highly correlated with the existing economic organizations. Thirdly, sectors weights among networks are very uneven. Some sectors are extremely important to a national economy, other do not. For example, China's Basic Metals and Fabricated Metal is second to none in terms of scope and intensity of influence. Fourthly, only 0.45% of flows account for 90% of the total embodied metal from a sectoral perspective, while 77.68% are intra-traded within economies from a regional perspective. Finally, some policy suggestions are given according to different economies and sectors.
Xuedong Liang; Xu Yang; Fuhai Yan; Zhi Li. Exploring global embodied metal flows in international trade based combination of multi-regional input-output analysis and complex network analysis. Resources Policy 2020, 67, 101661 .
AMA StyleXuedong Liang, Xu Yang, Fuhai Yan, Zhi Li. Exploring global embodied metal flows in international trade based combination of multi-regional input-output analysis and complex network analysis. Resources Policy. 2020; 67 ():101661.
Chicago/Turabian StyleXuedong Liang; Xu Yang; Fuhai Yan; Zhi Li. 2020. "Exploring global embodied metal flows in international trade based combination of multi-regional input-output analysis and complex network analysis." Resources Policy 67, no. : 101661.
Tourism and transportation have extremely complex interactions. Tourism developments have expanded demand and stimulated transportation development, which has consequently affected the environment of cities striving towards low-carbon sustainable development. Therefore, there has been an increased research focus on the coordinated binary development of the tourism and transportation industries to ensure sustainable low-carbon cities. To this end also this paper first developed a comprehensive evaluation index system with three subsystems, seven aspects, and 31 indicators. Then, entropy weight and gray correlation were combined to determine the index weights and a physics coupling concept employed to build a tourism, transportation and low-carbon city (TTLC) coupling coordination degree model, which was then applied to quantitatively analyze the coupling and evolutionary trends in Chongqing’s TTLC efforts from 2008 to 2017. It was found that the overall coupling coordination was volatile and rising, and that industry scale, industry performance, and energy consumption had the most significant impact on the coupled systems, indicating that these key factors must be considered in macro decision-making. In general, it was shown that the combination of the coupling coordination degree model and entropy weight gray correlation was able to effectively evaluate dynamic coupling relationships.
Fumin Deng; Yuan Fang; Lin Xu; Zhi Li. Tourism, Transportation and Low-Carbon City System Coupling Coordination Degree: A Case Study in Chongqing Municipality, China. International Journal of Environmental Research and Public Health 2020, 17, 792 .
AMA StyleFumin Deng, Yuan Fang, Lin Xu, Zhi Li. Tourism, Transportation and Low-Carbon City System Coupling Coordination Degree: A Case Study in Chongqing Municipality, China. International Journal of Environmental Research and Public Health. 2020; 17 (3):792.
Chicago/Turabian StyleFumin Deng; Yuan Fang; Lin Xu; Zhi Li. 2020. "Tourism, Transportation and Low-Carbon City System Coupling Coordination Degree: A Case Study in Chongqing Municipality, China." International Journal of Environmental Research and Public Health 17, no. 3: 792.
In view of the competitiveness evaluation of listed companies related to renewable resources in China, this paper constructs the entropy weight-TOPSIS competitiveness evaluation model from the four aspects of operating status, profitability, viability and growth ability for evaluation. This paper selects 12 representative listed companies related to renewable resources in China. Through its 2018 related data, all data comes from the wind database, and empirical analysis of competitiveness. The results show that in the recycling resource recycling industry, metal recycling and new material manufacturing are relatively mature and competitive. It provides some guidance for industry research and can also be used as an investment analysis.
Xuedong Liang; Linxia Qu; Sheng Zeng; Zhi Li. Competitiveness Evaluation of Chinese Renewable Resources Related Listed Companies Based on Entropy Weight-TOPSIS. IOP Conference Series: Earth and Environmental Science 2019, 332, 022005 .
AMA StyleXuedong Liang, Linxia Qu, Sheng Zeng, Zhi Li. Competitiveness Evaluation of Chinese Renewable Resources Related Listed Companies Based on Entropy Weight-TOPSIS. IOP Conference Series: Earth and Environmental Science. 2019; 332 (2):022005.
Chicago/Turabian StyleXuedong Liang; Linxia Qu; Sheng Zeng; Zhi Li. 2019. "Competitiveness Evaluation of Chinese Renewable Resources Related Listed Companies Based on Entropy Weight-TOPSIS." IOP Conference Series: Earth and Environmental Science 332, no. 2: 022005.
Electronic information manufacturing industry is the pillar industry of China’s economic development. It is of great significance to promote the optimal allocation of national resources and to realize the sustainable development of regional economy by deeply analyzing the spatial correlation structure characteristics of inter-provincial electronic information manufacturing industry, clarifying the status and role of each province in the overall network, and exploring the spillover effect of network space. Based on the panel data of China’s inter-provincial electronic information manufacturing industry from 2007 to 2016, this paper constructs a spatial correlation network by using gravity model and deconstructs the spatial network correlation characteristics of inter-provincial electronic information manufacturing industry by using social network analysis. The research shows that the spatial network connectedness of inter-provincial electronic information manufacturing industry is on the rise during the sample period, but the density value is low. The network accessibility and robustness is strong. Compared with the central and western regions, the eastern coastal provinces have stronger control and the ability to attract external resources. Finally, from the perspective of overall situation, differences, and resource support, the paper puts forward some countermeasures and suggestions to promote the sustainable and coordinated development of China’s region.
Yangjingjing Zhang; Zhi Li. Research on Spatial Correlation Network Structure of Inter-Provincial Electronic Information Manufacturing Industry in China. Sustainability 2019, 11, 3534 .
AMA StyleYangjingjing Zhang, Zhi Li. Research on Spatial Correlation Network Structure of Inter-Provincial Electronic Information Manufacturing Industry in China. Sustainability. 2019; 11 (13):3534.
Chicago/Turabian StyleYangjingjing Zhang; Zhi Li. 2019. "Research on Spatial Correlation Network Structure of Inter-Provincial Electronic Information Manufacturing Industry in China." Sustainability 11, no. 13: 3534.
Electric security is closely related to all aspects of the national macro-economy, but when it comes into considering power policies, the subject of exploring the reasons for large area power outages is often considered as a “separate subject”. This paper proposes a novel evaluation method to analyze and determine the main factors that are commonly found within unsustainable electric power system. This method integrates the fuzzy clustering method, fault tree analysis and an analytic hierarchy process. First, it builds a classification for different factors based on Faulty Tree Analysis methods. Then, the logical relationships between each factors are prioritized and determined. Once the logical hierarchies are established, the Entropy-House of Quality for quantitative analysis is employed to support big blackout prevention and decision-making for various influential factors. Finally, Sichuan province are given to verify its effectiveness so that the policy-makers and security regulators in China can follow its recommendations to create a better electricity supply security management and a more sustainable energy reform in the future.
Jing Xu; Meng Ye; Xianyi Peng; Zhi Li. Influential factor analysis of China's unsustainable electric power system: A case study of Chengdu Electric Bureau. Energy Policy 2019, 129, 975 -984.
AMA StyleJing Xu, Meng Ye, Xianyi Peng, Zhi Li. Influential factor analysis of China's unsustainable electric power system: A case study of Chengdu Electric Bureau. Energy Policy. 2019; 129 ():975-984.
Chicago/Turabian StyleJing Xu; Meng Ye; Xianyi Peng; Zhi Li. 2019. "Influential factor analysis of China's unsustainable electric power system: A case study of Chengdu Electric Bureau." Energy Policy 129, no. : 975-984.
Traditional development models are being slowly replaced by green economic development models. This paper views regional green economic development as a large complex system and develops a conceptual DPSIR (drivers, pressures, state, impact, response model of intervention) to construct a regional green economy development measurement index system, after which an entropy weight-TOPSIS-coupling coordination degree evaluation model is developed to quantitatively horizontally and vertically analyze regional green economy sustainable development trends and the coupled coordination status of each subsystem. The evaluation model is then employed to analyze the sustainable development of the green economy in Shandong Province from 2010 to 2016. The analysis results were found to be in line with the actual green economy development situation in Shandong Province, indicating that the measurement model had strong practicability for regional green economy development. Meanwhile, this model can demonstrate clearly how those indicators impact on the regional green economy sustainable development and fill the absence of existing studies on regional green economy sustainable development.
Min Wang; Xianli Zhao; Qunxi Gong; Zhigeng Ji. Measurement of Regional Green Economy Sustainable Development Ability Based on Entropy Weight-Topsis-Coupling Coordination Degree—A Case Study in Shandong Province, China. Sustainability 2019, 11, 280 .
AMA StyleMin Wang, Xianli Zhao, Qunxi Gong, Zhigeng Ji. Measurement of Regional Green Economy Sustainable Development Ability Based on Entropy Weight-Topsis-Coupling Coordination Degree—A Case Study in Shandong Province, China. Sustainability. 2019; 11 (1):280.
Chicago/Turabian StyleMin Wang; Xianli Zhao; Qunxi Gong; Zhigeng Ji. 2019. "Measurement of Regional Green Economy Sustainable Development Ability Based on Entropy Weight-Topsis-Coupling Coordination Degree—A Case Study in Shandong Province, China." Sustainability 11, no. 1: 280.
With the rapid advancement of urbanization, the sustainable development of the city has received more and more attention. The measurement of the sustainable development of a city can provide an important reference for the development of the city. Therefore, this paper firstly constructs an index system for five dimensions: society, the economy, the environment, resources, and technology. Then, a sustainable development measurement model is established based on dissipative structure theory, grey entropy and coupling theory, and the evolution trend and coordinated development of the city are measured. Finally, Chengdu, an important central city in the western region of China, is selected for sustainable development measurement research, from which it was found that the city became more sustainable and more orderly, the development level was constantly improving, and the coordination was continuously improving, which was consistent with the actual situation and indicated that the proposed measurement model could effectively measure and evaluate sustainable urban development.
Qunxi Gong; Min Chen; Xianli Zhao; Zhigeng Ji. Sustainable Urban Development System Measurement Based on Dissipative Structure Theory, the Grey Entropy Method and Coupling Theory: A Case Study in Chengdu, China. Sustainability 2019, 11, 293 .
AMA StyleQunxi Gong, Min Chen, Xianli Zhao, Zhigeng Ji. Sustainable Urban Development System Measurement Based on Dissipative Structure Theory, the Grey Entropy Method and Coupling Theory: A Case Study in Chengdu, China. Sustainability. 2019; 11 (1):293.
Chicago/Turabian StyleQunxi Gong; Min Chen; Xianli Zhao; Zhigeng Ji. 2019. "Sustainable Urban Development System Measurement Based on Dissipative Structure Theory, the Grey Entropy Method and Coupling Theory: A Case Study in Chengdu, China." Sustainability 11, no. 1: 293.
In recent years, sustainable supply chains that balance economic development and the environment have become an inevitable focus for many businesses and industries. Supply chain finance as the core driving force for supply chain development, plays a vital role in resolving any financing difficulties that exist in many small and medium-sized enterprises (SMEs) in the upstream and downstream of the supply chain. However, most SME supply chain financing assessments currently use economic indicators as the sole measure of the evaluation system and rarely consider sustainability. While existing supply chain financing decision-making systems can resolve SME financing problems to some extent, the one-sided pursuit of maximum economic benefits is contrary to sustainable development and does not assist financial institutions in avoiding finance risks. Therefore, this paper, based on the theory of the triple bottom line (economy, environment, and society) from a sustainable development perspective, innovatively proposes an SME financing evaluation model for supply chain finance that applies a fuzzy multi-criteria evaluation method combined with Topsis. Additionally, at the end, an example is given to demonstrate model validity and evaluate the best possible SME financing model for financial institutions.
Xuedong Liang; Xianli Zhao; Min Wang; Zhi Li. Small and Medium-Sized Enterprises Sustainable Supply Chain Financing Decision Based on Triple Bottom Line Theory. Sustainability 2018, 10, 4242 .
AMA StyleXuedong Liang, Xianli Zhao, Min Wang, Zhi Li. Small and Medium-Sized Enterprises Sustainable Supply Chain Financing Decision Based on Triple Bottom Line Theory. Sustainability. 2018; 10 (11):4242.
Chicago/Turabian StyleXuedong Liang; Xianli Zhao; Min Wang; Zhi Li. 2018. "Small and Medium-Sized Enterprises Sustainable Supply Chain Financing Decision Based on Triple Bottom Line Theory." Sustainability 10, no. 11: 4242.
Due to the frequent occurrence of various emergencies in recent years, people have put forward higher requirements on the emergency supply chain management. It is of great significance to explore the key management indicators of emergency supply chain for its management and efficient operation. In order to reveal the essence of emergency supply chain management, production, procurement, distribution, storage, use, recycling and other emergencies, supply chain links are considered to establish an emergency supply chain management index system to identify the key influencing factors in the emergency supply chain. The emergency supply chain involves many management elements and the traditional qualitative analysis and comprehensive evaluation methods have their shortcomings in practice. In order to get a more suitable method, a novel evaluation model is proposed, based on Rough set–house of quality method. In this paper, Rough set is used to filter the indexes, eliminate redundant indicators, and simplify many management indicators of the emergency supply chain system to a few core indicators. Then, the house of quality is used to analyze and sort the core index to get the key management index of emergency supply chain. The effectiveness of the proposed evaluation model is validated through a series of numerical experiments. The experimental results also show that the proposed evaluation model can assist decision makers in optimizing the emergency supply chain procedure and improving the efficiency of accident rescue.
Yuan He; Xue-Dong Liang; Fu-Min Deng; Zhi Li. Emergency Supply Chain Management Based on Rough Set – House of Quality. International Journal of Automation and Computing 2018, 16, 297 -309.
AMA StyleYuan He, Xue-Dong Liang, Fu-Min Deng, Zhi Li. Emergency Supply Chain Management Based on Rough Set – House of Quality. International Journal of Automation and Computing. 2018; 16 (3):297-309.
Chicago/Turabian StyleYuan He; Xue-Dong Liang; Fu-Min Deng; Zhi Li. 2018. "Emergency Supply Chain Management Based on Rough Set – House of Quality." International Journal of Automation and Computing 16, no. 3: 297-309.
The present paper examines the manufacturer’s operational decisions, e.g., wholesale price and product sustainability level, the retailer’s operational decision, e.g., retail margin, and supply chain efficiency under three supply chain power structures: manufacturer Stackelberg, Nash and retailer Stackelberg. As a benchmark, we first obtain the equlibrium price and product sustainability level in a vertically integrated supply chain. Our analysis provides some interesting findings in a decentralized supply chain: (i) a dominant manufacturer (retailer) always benefits from its power; (ii) the entire supply chain earns the most profit from the Nash game, and the least from the retailer Stackelberg game, respectively; (iii) as the power shifts from the manufacturer to the retailer, product sustainability and retail price increase; (iv) dominant manufacturer does not necessarily imply low wholesale price that would benefit the retailer. Managerial insights are provided for the manufacturer and the retailer, respectively.
Zhi Li; Yangyang Xu; Fumin Deng; Xuedong Liang. Impacts of Power Structure on Sustainable Supply Chain Management. Sustainability 2017, 10, 55 .
AMA StyleZhi Li, Yangyang Xu, Fumin Deng, Xuedong Liang. Impacts of Power Structure on Sustainable Supply Chain Management. Sustainability. 2017; 10 (1):55.
Chicago/Turabian StyleZhi Li; Yangyang Xu; Fumin Deng; Xuedong Liang. 2017. "Impacts of Power Structure on Sustainable Supply Chain Management." Sustainability 10, no. 1: 55.
In connection with the sustainable development of scenic spots, this paper, with consideration of resource conditions, economic benefits, auxiliary industry scale and ecological environment, establishes a comprehensive measurement model of the sustainable capacity of scenic spots; optimizes the index system by principal components analysis to extract principal components; assigns the weight of principal components by entropy method; analyzes the sustainable capacity of scenic spots in each province of China comprehensively in combination with TOPSIS method and finally puts forward suggestions aid decision-making. According to the study, this method provides an effective reference for the study of the sustainable development of scenic spots and is very significant for considering the sustainable development of scenic spots and auxiliary industries to establish specific and scientific countermeasures for improvement.
Xuedong Liang; Canmian Liu; Zhi Li. Measurement of Scenic Spots Sustainable Capacity Based on PCA-Entropy TOPSIS: A Case Study from 30 Provinces, China. International Journal of Environmental Research and Public Health 2017, 15, 10 .
AMA StyleXuedong Liang, Canmian Liu, Zhi Li. Measurement of Scenic Spots Sustainable Capacity Based on PCA-Entropy TOPSIS: A Case Study from 30 Provinces, China. International Journal of Environmental Research and Public Health. 2017; 15 (1):10.
Chicago/Turabian StyleXuedong Liang; Canmian Liu; Zhi Li. 2017. "Measurement of Scenic Spots Sustainable Capacity Based on PCA-Entropy TOPSIS: A Case Study from 30 Provinces, China." International Journal of Environmental Research and Public Health 15, no. 1: 10.
This paper introduces a new procedure for handling the multicriteria ABC inventory classification problem using stochastic multicriteria acceptability analysis. All possible preferences among the evaluation criteria have been considered. Due to the fact that even under certain preference, it is difficult to reach a group consensus on the exact weight values along with each criterion, we calculate preference-specific intervals under each preference and then formulate a stochastic decision-making problem. To tackle this problem, we consider different distribution functions of the intervals and then compute the holistic acceptability indices to classify stock-keeping units. The results derived from our method are compared to the previous results to show the robustness and superiority of our method.
Zhi Li; Xunbo Wu; Fan Liu; Yelin Fu; Ke Chen. Multicriteria ABC inventory classification using acceptability analysis. International Transactions in Operational Research 2017, 26, 2494 -2507.
AMA StyleZhi Li, Xunbo Wu, Fan Liu, Yelin Fu, Ke Chen. Multicriteria ABC inventory classification using acceptability analysis. International Transactions in Operational Research. 2017; 26 (6):2494-2507.
Chicago/Turabian StyleZhi Li; Xunbo Wu; Fan Liu; Yelin Fu; Ke Chen. 2017. "Multicriteria ABC inventory classification using acceptability analysis." International Transactions in Operational Research 26, no. 6: 2494-2507.
Gold price fluctuation trend prediction is an important issue in the financial world. Even small improvements in predictive performance can make lots of profits. In order to improve the prediction, various factors were considered in related literatures, such as US dollar index (USDX), the crude oil price (COP), Dow Jones Industrial Average (DJIA), the CPI of US (USCPI), the prices of US ten year bond futures (US10BFP), the Hang Seng Index (HIS) and the Standard & Poor’s 500 Index (S&P500), etc. However, the more factors should be considered, the more difficult data can be gathered. This paper used the random forest method to predict the trend of fluctuations of the gold price. Our predictions are one month ahead. Extensive experiments based on real world data were conducted. Our findings show that (1) the random forest is a powerful method to predict the trends of fluctuations of the gold price and (2) the results also validated that, by using the random forest algorithm, there were only two factors must be considered to ensure the performance of the prediction, which were DJIA and S&P500.
Dan Liu; Zhi Li. Gold Price Forecasting and Related Influence Factors Analysis Based on Random Forest. Advances in Intelligent Systems and Computing 2016, 711 -723.
AMA StyleDan Liu, Zhi Li. Gold Price Forecasting and Related Influence Factors Analysis Based on Random Forest. Advances in Intelligent Systems and Computing. 2016; ():711-723.
Chicago/Turabian StyleDan Liu; Zhi Li. 2016. "Gold Price Forecasting and Related Influence Factors Analysis Based on Random Forest." Advances in Intelligent Systems and Computing , no. : 711-723.