基于PCA—C-OWA算子赋权的钢筋混凝土施工质量灰色聚类评价  

Grey Clustering Evaluation of Reinforced Concrete Construction Quality Based on PCA and C-OWA Operator

作　　者：陈为公[1] 张胜昔[1] 王会会[1] 

机构地区：[1]青岛理工大学管理学院,山东青岛266520

出　　处：《土木工程与管理学报》2016年第1期1-6,共6页Journal of Civil Engineering and Management

基　　金：国家自然科学基金(71471094)

摘　　要：钢筋混凝土结构凭借其整体性强、稳定性高、耐久性好等优势,已逐渐成为建设工程项目中普遍采用的结构形式。而钢筋混凝土的施工质量是影响建筑物耐久性和安全性的主要因素,其优劣程度直接关系到建设工程项目整体质量水平。针对钢筋混凝土施工质量所受影响因素众多,具有模糊、灰性等不确定性特征,基于科学、真实、可操作等原则,提出影响钢筋混凝土质量的要素集,并对集合的26个要素进行PCA降维,对得到的10个主成分结合工程实践经验进行归纳分析,构建了钢筋混凝土施工质量评价指标体系。利用C-OWA算子对指标进行客观赋权,并结合灰色聚类评价模型进行评价,由此得到针对模糊性和灰性的客观质量水平。最终,通过实证研究验证了该评价方法的有效性。Reinforced concrete structure with its integrity, stability, durability, has gradually become a common form of structure in a construction. The construction quality of reinforced concrete is the main factor that affects the durability and safety of buildings, and its quality is directly related to the overall quality of construction projects. Because there are many factors affecting the quality of reinforced concrete construction with strong fuzzy, grey and uncertainty characteristics, elements set that affects the quality of the reinforced concrete in the evaluation set is proposed based on the principle of scientific, real, and can be operated, and the set of 26 elements in PCA dimensionality reduction, the obtained 10 main components of the combination of engineering practice experience are summarized and analyzed to construct quality evaluation on the index system of reinforced concrete construction＇based on the principal component analysis method. Using the C-OWA operator to evaluate the objective weight, and combining the grey clustering evaluation model to evaluate the model, the objective quality level of fuzzy and gray is obtained. Eventually, the validity of the method is verified by emoirical research.

关 键 词：钢筋混凝土 施工质量 主成分分析 C-OWA算子 灰色聚类评价 

分 类 号：TU712.3[建筑科学—建筑技术科学]