计算机工程与应用Issue(9)：9-15,7.DOI:10.3778/j.issn.1002-8331.1407-0081
基于粗糙集的PPP项目风险分担方案选择研究
Study of risk sharing scheme choosing of PPP projects based on rough set theory
摘要
Abstract
To ensure the successful implementation of PPP projects, the public client and the private bidder must share risks of the project reasonably. This paper builds a set of suitable risk sharing scheme choosing index evaluation system for PPP projects, and designs a risk sharing scheme selection method based on GASA and rough set theory. GASA method is applied to deal with the problems of data’s low support after discretizing and influencing the accuracy of the decision making. Using the method based on rough set and conditional information entropy theory to calculate the weights of attri-butes in the index evaluation system improves the applicability and reliability and the accuracy of GRA method. It puts the weight and data after reduction into the GRA formula then takes the plan which has the moderate highest value as the optimal solution.关键词
公私合作制(PPP)项目/风险分担/粗糙集/遗传模拟退火算法(GASA)/灰色关联分析法(GRA)Key words
Public Private Partnership(PPP)project/risk sharing/rough set theory/Genetic Algorithm Simulated Annealing (GASA)/Grey Relational Analysis(GRA)分类
交通工程引用本文复制引用
尹航,李远富,赵冬梅..基于粗糙集的PPP项目风险分担方案选择研究[J].计算机工程与应用,2015,(9):9-15,7.基金项目
国家自然科学基金（No.71271176）；国家科技支撑计划项目（No.2008BAG07B05）；国家社会科学基金项目（No.12XJY028）。 （）
