The paper sums up the existing priority methods of interval judgment matrix and classifies them into two categories: approximate algorithm and optimization algorithm.
本文总结了目前区间判断矩阵的排序算法，并将这些排序算法分为：近似算法和优化算法两大类进行研究。
New eigenvector method for priority of reciprocal judgment matrix based on correlativity is proposed.
从相关性角度提出了互反判断矩阵排序的特征向量方法。
In the second kind of approach, the priority weight vector is calculated directly from a (consistent) fuzzy judgment matrix or one with satisfactory consistency.
另一类方法是直接由一致性或具有满意一致性的模糊判断矩阵计算排序向量。
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