摘要
从相关性角度提出了互反判断矩阵排序的特征向量方法。利用两类一致性模糊判断矩阵与完全一致性互反判断矩阵的相互转换公式,给出了基于加性一致性指标与乘性一致性指标的模糊判断矩阵特征向量排序方法,最后利用这些方法进行了算例分析,结果表明这些新的排序方法是有效可行的。
New eigenveetor method for priority of reciprocal judgment matrix based on eorrelativity is proposed. Using the transformation formulas between perfectly consistent reciprocal judgment matrix and consistent fuzzy judgment matrix, this paper also puts forward new eigenveetor ways for priority of fuzzy judgment matrix grounded on additive consistency and multiplieative consistency. It is illustrated by numerical examples that these approaches of judgment matrices are effective.
出处
《运筹与管理》
CSCD
2006年第4期27-32,共6页
Operations Research and Management Science
基金
国家自然科学基金(70473037)
国家教育部博士学科点科研基金(20020287001)
关键词
多属性决策
互反判断矩阵
模糊判断矩阵
特征向量
排序
multi-attribute decision
AHP judgment matrix
fuzzy judgment matrix
eigenveetor
priority
