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基于数据挖掘的建筑材料供应商评价方法

Construction Material Supplier Evaluation Method Based on Data Mining
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摘要 为实现对建筑材料供应商的评价,本研究运用数据挖掘法,建立专业评价小组,分析市场竞争环境,确立供应商评价标准,运用决策树算法选择符合要求的评价目标,最终形成建筑材料供应商的决策树模型。结果表明,通过分析构建的决策树模型,确定了建筑材料供应商评价的必要性,发现模型评估可排除质量不佳的供应商,确保材料供应质量,从而提升建筑工程的建设效果,为建筑工程实施提供参考。 In order to realize the evaluation of building material suppliers,the study uses data mining method to establish a professional evaluation team,analyzes the market competition environment,establishes the evaluation criteria of suppliers,uses the decision tree algorithm to select the evaluation objectives that meet the requirements,and finally forms the decision tree model of building material suppliers.Through the analysis of the construction of decision tree model,the study determines the necessity of the evaluation of construction material supplier.It is found that with model evaluation,suppliers with poor quality can be excluded,and the quality of material supply be ensured,so as to improve the construction effect of construction projects,and provide reference for the implementation of construction projects.
作者 王喆 Wang Zhe(China Railway 17th Bureau Group Materials Co.,LTD.,Taiyuan 030032,China)
出处 《黑龙江科学》 2023年第17期17-19,23,共4页 Heilongjiang Science
关键词 数据挖掘 建筑材料 供应商 决策树模型 Data mining Building materials Supplier Decision tree model
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