Multi-level Gray Evaluation Model Research Articles

Analysis of the Correlation between Cross‐Border E‐Commerce and Economic Growth Based on Hierarchical Multilevel Gray Evaluation Model

Cross‐border e‐commerce is a new form of global trade development under the background of “Internet+,” and it is also a new engine driving economic development. Cross‐border e‐commerce is growing rapidly and has broad development prospects. As a pioneering pilot zone for comprehensive cross‐border e‐commerce, it has played a leading role in the development of the country’s cross‐border e‐commerce industry. This paper takes China’s 35 cross‐border e‐commerce comprehensive pilot areas as the research object, selects the annual data of 31 provinces across the country, and conducts an empirical research based on the gray‐related Internet development level and economic growth. It analyzes the influencing factors of cross‐border e‐commerce development, constructs a cross‐border e‐commerce development influencing factor model, and applies gray theory to conduct an empirical analysis of the correlation between cross‐border e‐commerce development influencing factors and cross‐border e‐commerce. The research results show that foreign direct investment has the greatest correlation with the number of websites and webpages; the number of patent applications has the greatest correlation with the number of domains and websites; the total fixed assets have the greatest correlation with the number of Internet users and the number of mobile phones at the end of the year; the total amount of foreign investment enterprises in and out. It has the greatest correlation with the number of URLs and Webpages; GDP has the greatest correlation with the number of Internet users and the number of mobile phones at the end of the year. The Internet infrastructure and popularity have a close relationship with economic growth, and the relationship between foreign investment and patent applications and the level of Internet development is more significant.

Risk Evaluation of Railway Coal Transportation Network Based on Multi Level Grey Evaluation Model

The railway transport mode is currently the most important way of coal transportation, and now China’s railway coal transportation network has become increasingly perfect, but there is still insufficient capacity, some lines close to saturation and other issues. In this paper, the theory and method of risk assessment, analytic hierarchy process and multi-level gray evaluation model are applied to the risk evaluation of coal railway transportation network in China. Based on the example analysis of Shanxi railway coal transportation network, to improve the internal structure and the competitiveness of the market.

Evaluation on Core Competitiveness of Construction Enterprise Based on Multi-Level Gray Evaluation Method

The core competitive index system is proposed from construction enterprises characteristics. Due to fuzzy characteristics of core competitive index, a multi-level gray evaluation model is established for construction enterprises. And the effectiveness of this model is illustrated by an example.

Study on Risk Evaluation of Oil Spilling from Ship Based on the Gray Theory

At present, with the continuous increase of the nautical navigation density and the number of large size & specialization of the dangerous cargo vessels, the potential risk of oil spill accident from ships has been growing. On this background, this paper analyses three major factors affecting the risk assessment of ship oil spilling; then uses the gray theory to establish multi-level gray evaluation model and calculates the gray evaluation coefficient, weight vector and weight matrix; at last, the paper gives a comprehensive evaluation and makes example verification according to the calculation result. The result shows that this model has the characteristics of simple in calculation, clear in level and credible in the result.