Analysis of the Impact of Climate Change on National Vulnerability Based on Fuzzy Comprehensive Evaluation

Zhu, Jiaming; Chen, Yang; Zhang, Su

doi:10.1155/2020/3527540

Cited by 22 publications

(23 citation statements)

References 34 publications

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“…erefore, the analytic hierarchy process is used to give different adjustment plans for different industries in emergencies. e processed values are respectively calculated on the relevant index values and brought into the existing model for calculation, and the bank's credit adjustment strategy when the total annual credit is 100 million yuan under the influence of unexpected factors can be obtained [17][18][19][20].…”

Section: Credit Adjustment Strategy Model Under the Influence Of Emermentioning

confidence: 99%

Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression

Xie

Liu

et al. 2021

Journal of Mathematics

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This article uses support vector machines, logistics regression, and other methods for the comprehensive evaluation of credit decision-making of small, medium, and microenterprises and comprehensively uses software programming such as MATLAB and SPSS Modeler to solve the problem. The results, such as credit risk evaluation index system, credit risk classification model, and credit decision-making comprehensive evaluation model, are obtained. Finally, this article starts from the credit decision of small, medium, and microenterprises and provides theoretical and practical suggestions for banks to control the risks of small, medium, and microenterprises and their own development.

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Section: Credit Adjustment Strategy Model Under the Influence Of Emermentioning

confidence: 99%

Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression

Xie

Liu

et al. 2021

Journal of Mathematics

Self Cite

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“…In short, we believe that it is very difficult to realize the reform of higher education development, which requires the joint efforts and active cooperation of the international community, the government, and higher education institutions [33,34]. All countries should put economic development in the first place, provide a continuous driving force for the development of higher education, strengthen national innovation ability, and seek opportunities for the development of all humankind [35]. the good of education on our overall quality of life?…”

Section: Discussionmentioning

confidence: 99%

Research on Evaluation and Improvement Policy of Higher Education Development Based on TOPSIS‐Synthetic Control Method

Zhang

Mengxiang

et al. 2021

Complexity

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This article aims at the evaluation and improvement of the development of higher education. First of all, according to the theory and hypothesis, the comprehensive evaluation index system of higher education development level is established. The TOPSIS and the combination weighting method based on goal programming are used to measure the scores of higher education development levels of 19 major countries in the world in the recent 20 years, and the horizontal and vertical comparative analysis is carried out. Then, according to the practical feasibility, Turkey is selected as the target country to propose a higher education development and improvement policy by 2030, and the causal effect of our proposed policy is estimated using the synthetic control method. This study can provide a reference for other countries in the world to improve their higher education level.

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“…After this, inputting it into the neural network. Secondly, the neuron transfer functions of the hidden layer and the output layer are constructed using the tangent function of the output range [-1,1], and the LM method was chosen as the training algorithm of the BP network; the neural network training is completed [36][37][38][39][40][41]. e specific training process is as follows:…”

Section: Model Algorithm and Principlementioning

confidence: 99%

Research on the Route Pricing Optimization Model of the Car‐Free Carrier Platform Based on the BP Neural Network Algorithm

2021

Complexity

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The car-free carrier platform is a product of the rapid development of the modern logistics industry and has a vital strategic value for promoting the construction of a country’s comprehensive transportation. However, due to the unreasonable platform pricing model, the industry is currently in a bottleneck period. In order to solve this problem, we established a gray correlation model to calculate the degree of correlation between each characteristic index and platform pricing based on the massive historical transaction data of a certain platform and performed K-means clustering on the results to discover the main factors affecting platform pricing. Based on the abovementioned results, we created a pricing optimization model based on the BP neural network, with the structure of 8-13-1 to predict the freight pricing of the order and test the prediction results. The test shows that the goodness of fit (R2) of the predicted value is close to 1, and the prediction error range is less than 3.7%, which proves the accuracy and effectiveness of the BP neural network model and provides an effective reference for the optimization of the pricing model of the car-free carrier platform.

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Analysis of the Impact of Climate Change on National Vulnerability Based on Fuzzy Comprehensive Evaluation

Cited by 22 publications

References 34 publications

Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression

Evaluation of SMEs’ Credit Decision Based on Support Vector Machine-Logistics Regression

Research on Evaluation and Improvement Policy of Higher Education Development Based on TOPSIS‐Synthetic Control Method

Research on the Route Pricing Optimization Model of the Car‐Free Carrier Platform Based on the BP Neural Network Algorithm

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