摘要
为了解决现有的方案两两比较方法一般构建单等级上的比较关系,且不能同时表达多种不同偏好关系的不足,提出一种新的基于多等级方案成对比较的决策方法,构建方案集上基于对称框架的分布式多等级偏好关系.通过设定各等级的得分值,计算分布式偏好关系的得分矩阵,并基于此矩阵构建成对优化模型,求取各方案的优先权区间,进而产生决策结果.将所提出的方法应用于某制造企业云服务供应商的选择问题,验证了所提出方法的应用性和有效性.
To address the shortcomings of existing methods of pairwise comparison of alternatives generally constructing comparison relation on one grade rather than expressing a variety of different preference relations simultaneously, a new decision method based on pairwise comparison of alternatives on multiple grades is proposed. In the method, a symmetrical framework based distributed preference relation（DPR） on multiple grades is constructed on a set of alternatives. Through giving scores of grades in the framework, the score matrix of the DPR is calculated and used to construct a pair of optimization models to obtain the priority interval of any alternative, which is further applied to generate decision results. A selection problem of cloud service providers in a manufacturing enterprise is solved by using the proposed method, which verifies its applicability and effectiveness.
出处
《控制与决策》
EI
CSCD
北大核心
2015年第10期1828-1834,共7页
Control and Decision
基金
国家自然科学基金项目(71201043)
教育部人文社科基金项目(12YJC630046)
安徽省自然科学基金项目(1408085MG136)
关键词
方案成对比较
分布式偏好关系
多等级
优先权区间
得分矩阵
pairwise comparison of alternatives
distributed preference relation
multiple grades
priority interval
score matrix
