Purpose

By calculating the information entropy of the indicator and measuring the amount of information in the data, this paper determines the weight of the indicator according to the impact of the relative change of the indicator on the whole.

Design/methodology/approach

In order to study the action mechanism of circular economy development and green finance, based on the entropy method, this paper constructs a system analysis model based on event research.

Findings

Moreover, this paper uses the analytic hierarchy process to obtain subjective weights based on expert opinions and then uses the entropy method to obtain objective weights and finally combines the two. In addition, an intelligent model is constructed based on the action mechanism of circular economy development and green finance to improve the system structure.

Originality/value

Finally, this paper designs experiments to verify the performance of the system model. The research results show that the system model constructed in this paper meets the actual situation.

中文翻译：

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基于熵法和大数据的循环经济发展与绿色金融作用机制研究

目的

本文通过计算指标的信息熵，衡量数据中的信息量，根据指标的相对变化对整体的影响来确定指标的权重。

设计/方法/方法

为研究循环经济发展与绿色金融的作用机制，基于熵法，本文构建了基于事件研究的系统分析模型。

发现

此外，本文采用层次分析法，根据专家意见得到主观权重，然后用熵法得到客观权重，最后将两者结合起来。此外，基于循环经济发展和绿色金融的作用机制构建智能模型，完善体系结构。

原创性/价值

最后，本文设计实验验证系统模型的性能。研究结果表明，本文构建的系统模型符合实际情况。