基于一致性指标的两类不确定偏好信息集结  

Aggregation approach of two kinds of uncertain preference information based on consistency index

作　　者：钱钢[1] 冯向前[1] 魏翠萍[2] 

机构地区：[1]南京师范大学管理科学与工程研究所,南京210097 [2]曲阜师范大学运筹与管理学院,山东日照276826

出　　处：《控制与决策》2009年第1期29-34,共6页Control and Decision

基　　金：国家自然科学基金项目(10671108)

摘　　要：研究了两类区间数判断矩阵偏好信息的集结问题.首先,基于Saaty提出的数字互反判断矩阵一致性检验指标(CR),给出了区间数互反判断矩阵的满意一致性条件;然后利用互反与互补判断矩阵之间的关系求解出数字互补判断矩阵的一致性指标(CGCI),并在此基础上给出了区间数互补判断矩阵的满意一致性条件;最后建立了一致性指标最大的两类区间数判断矩阵偏好信息的集结模型,并用此模型解决了供应链中伙伴企业的选择问题.The aggregation problem of the group preference information of interval number judgment matrices is studied. Based on the consistency ratio （CR） of reciprocal judgment matrix, the condition of satisfactory consistency interval number reciprocal judgment matrix is proposed. And the consistency index （CGCI） of complementary judgment matix is presented by the transformation relation between the reciprocal judgment matrix and complementary matix. Then the condition of satisfactory consistency inerval number complementary judgment marix is also presented. Finally, the maxmal group consistency weight model is established, and adopted as the option of partners in supply chain.

关 键 词：群决策 区间数判断矩阵 一致性 集结 

分 类 号：C934[经济管理—管理学]