CAJ | 학술논문

为保证PPP项目的成功实施，公共部门和私营部门必须合理地分担风险。构建了一套适用于PPP项目的风险分担方案选择指标评审体系，设计了一种基于GASA和粗糙集理论的风险分担方案选择方法。引入GASA法解决数据离散化后对决策规则支持度低，影响决策准确性的问题。利用基于粗糙集和条件信息熵理论的方法计算权重，提高了适用性和可靠性，改良了GRA法的准确性。将求得权重和约简后数据代入GRA公式，选取适度值最高者为最优方案。
위보증PPP항목적성공실시，공공부문화사영부문필수합리지분담풍험。구건료일투괄용우PPP항목적풍험분담방안선택지표평심체계，설계료일충기우GASA화조조집이론적풍험분담방안선택방법。인입GASA법해결수거리산화후대결책규칙지지도저，영향결책준학성적문제。이용기우조조집화조건신식적이론적방법계산권중，제고료괄용성화가고성，개량료GRA법적준학성。장구득권중화약간후수거대입GRA공식，선취괄도치최고자위최우방안。
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.