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Further Discussions on Induced Bias Matrix Model for the Pair-Wise Comparison Matrix

机译:配对比较矩阵的归纳偏置矩阵模型的进一步讨论

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摘要

The inconsistency issue of pairwise comparison matrices has been an important subject in the study of the analytical network process. Most inconsistent elements can efficiently be identified by inducing a bias matrix only based on the original matrix. This paper further discusses the induced bias matrix and integrates all related theorems and corollaries into the induced bias matrix model. The theorem of inconsistency identification is proved mathematically using the maximum eigenvalue method and the contradiction method. In addition, a fast inconsistency identification method for one pair of inconsistent elements is proposed and proved mathematically. Two examples are used to illustrate the proposed fast identification method. The results show that the proposed new method is easier and faster than the existing method for the special case with only one pair of inconsistent elements in the original comparison matrix.
机译:成对比较矩阵的不一致性问题已经成为分析网络过程研究中的重要课题。通过仅基于原始矩阵引入偏差矩阵,可以有效地识别大多数不一致的元素。本文进一步讨论了诱导偏差矩阵,并将所有相关定理和推论整合到了诱导偏差矩阵模型中。运用最大特征值法和矛盾法对不一致性辨识定理进行了数学证明。此外,提出了一种用于一对不一致元素的快速不一致识别方法,并进行了数学证明。使用两个例子来说明所提出的快速识别方法。结果表明,对于原始比较矩阵中只有一对不一致元素的特殊情况,所提出的新方法比现有方法更容易,更快。

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