Evaluation of an Agricultural Meteorological Disaster Based on Multiple Criterion Decision Making and Evolutionary Algorithm

Yu, Xiaobing; Lu, Yiqun

doi:10.3390/ijerph15040612

Cited by 18 publications

(10 citation statements)

References 43 publications

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“…The method ranks the advantages and disadvantages of the scheme by analyzing the distance between the best and the worst schemes, which significantly improves the scientificity, accuracy, and operability of multi-objective decision analysis. It has been successfully applied in many fields such as logistics supplier selection [41][42][43], meteorological disaster assessment [44], land use planning [45], and human resource management assessment [46]. However, in the process of dealing with problems, it requires that the preferences of decision makers must be definite, clear, and quantifiable.…”

Section: Introductionmentioning

confidence: 99%

Small and Medium-Sized Enterprises Sustainable Supply Chain Financing Decision Based on Triple Bottom Line Theory

et al. 2018

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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.

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Section: Introductionmentioning

confidence: 99%

Small and Medium-Sized Enterprises Sustainable Supply Chain Financing Decision Based on Triple Bottom Line Theory

et al. 2018

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“…Sustainable development has become a critical issue in the political agenda across different countries [ 122 , 123 , 124 , 125 ]. It is a new measure of the international community’s resolve to mitigate climate change in that the REDD+ scheme provides an incentive to developing countries to eliminate the historical tendency to deforest as part of the development process.…”

Section: Discussionmentioning

confidence: 99%

Uncertainty in Estimates, Incentives, and Emission Reductions in REDD+ Projects

Sheng

Zhou

Sherbinin

2018

IJERPH

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The accurate monitoring and measurement of emission reductions is a critical step in Reducing Emissions from Deforestation and Degradation (REDD+). However, the existence of uncertainty in emission reduction estimates affects the performance of REDD+ projects. We assert that incentive could be a valuable policy tool for reducing monitoring errors and transaction costs. Using Stackelberg models and simulation research, this paper examines the effects of uncertainty and incentive on performance and stakeholder benefits of REDD+ projects. Finally, the uncertainties in REDD+ projects are further discussed, and equilibrium errors, emission reductions, and stakeholder benefits in different scenarios are compared. The results show that errors do affect the measured value of carbon emissions and compensation payments. However, incentive for investors can reduce monitoring errors and improve the performance of REDD+ projects. Therefore, in the future, incentive should be provided to investors rather than landholders.

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“…From a statistical distribution perspective, Wang and Gong [ 40 ] investigated the optimal ranking of hesitant fuzzy linguistic preference relations based on chance constrained programming with an application to meteorological disaster risk assessment. Considering the evaluation for meteorological disasters, Yu et al [ 41 ] constructed a multiple-criteria evaluation model based on novel evaluation algorithm. Jin et al [ 42 ] applied econometric model groups in assessment of Chinese storm surge disaster damage.…”

Section: About the Papers Of This Special Issuementioning

confidence: 99%