摘要
通过查阅相关文献及统计资料,综合考虑了在贫数据、不确定的复杂系统内影响设计—施工一体化程度的多个相关因素。建立了包含技术、经济、规模、环境和风险5个层面的指标体系。该体系以2010~2014年为时间维,选用主成分分析方法筛选出相关性较大的部分指标。构造出多属性判断矩阵。利用灰熵理论与TOPSIS理论相结合,计算出各指标的数值,以综合评价系数为评价依据得出各影响因素重要性的排序。并对于各影响因素重要性提出了促进设计—施工一体化的建议。
Consulting relevant literature and statistical data, several factors that affect design-construction integration in poor data and uncertain complex systems are considered in this paper. The index system including technology, economy, scale, environment and risk is established. The principal component analysis method is used in this system to select some of the indicators with high correlation in the time dimension from 2010 to 2014. The multi-attribute judgment matrix is constructed for the index after screening. Combining the gray entropy theory and the TOPSIS theory, the numerical values of each index are calculated, and the ranking of the importance of each influence factor is obtained by the comprehensive evaluation coefficient. Finally, suggestions are put forward to promote the integration of design and construction for each influence factor.
作者
彭军龙
刘义
PENG Jun-long LIU Yi(School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410004, China)
出处
《工程管理学报》
2017年第2期111-115,共5页
Journal of Engineering Management
基金
湖南省自然科学基金项目(2015JJ2004)
关键词
设计—施工一体化
灰熵理论
TOPSIS理论
主成分分析
design-construction integration
entropy-grey theory. TOPSIS theory
principal component analysis