Green buildings have many advantages that traditional buildings do not possess, but there are still problems such as insufficient promotion and application. One of the important reasons is the lack of pertinent evaluation of green buildings. The current assessment of the economic benefits of greenbuilding design is still at a qualitative stage, and there is a lack of quantitative assessment methods and models. Based on this, this study establishes a green building design evaluation index system including cost and economic benefits. In the cost estimation, a nonlinear evaluation model based on data mining is designed to ensure a better estimation accuracy and credibility. In the evaluation of economic benefits, an incremental benefit evaluation model based on fuzzy mathematics is designed to evaluate its comprehensive economic benefits in a quantitative way. The results of data simulation show that the least squares support vector machine has achieved a good balance between the estimation time and accuracy. The comprehensive evaluation model proposed in this paper has strong operability and good evaluation effect, which is of great significance to promote the development of green building design.

中文翻译：

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基于数据挖掘的绿色建筑设计模糊综合评价的建立与应用

绿色建筑具有许多传统建筑所不具备的优势，但仍存在推广和应用不足等问题。重要原因之一是缺乏对绿色建筑的相关评估。目前对绿色建筑设计经济效益的评估仍处于定性阶段，缺乏定量评估方法和模型。在此基础上，本研究建立了包括成本和经济效益在内的绿色建筑设计评价指标体系。在成本估算中，设计了基于数据挖掘的非线性评估模型以确保更好的估算准确性和可信度。在评估经济效益时，设计了一种基于模糊数学的增量效益评价模型，以定量的方式评价其综合经济效益。数据仿真结果表明，最小二乘支持向量机在估计时间和精度之间取得了良好的平衡。本文提出的综合评价模型具有较强的可操作性和良好的评价效果，对于促进绿色建筑设计的发展具有重要意义。