On the mean random inconsistency index of analytic hierarchy process (AHP)

In this paper, we find a closed-form expression for the largest eigenvalue of a three-dimensional random pairwise comparison matrix. This expression can give us all the corresponding distribution moments. In particular, the exact value of the mean and variance of the largest eigenvalue associated a...

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Bibliographic Details
Published inComputers & industrial engineering Vol. 27; no. 1; pp. 401 - 404
Main Authors Rao Tummala, V.M., Wan, Yat-wah
Format Journal Article Conference Proceeding
LanguageEnglish
Published Seoul Elsevier Ltd 01.09.1994
Oxford Pergamon Press
New York, NY Pergamon Press Inc
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Summary:In this paper, we find a closed-form expression for the largest eigenvalue of a three-dimensional random pairwise comparison matrix. This expression can give us all the corresponding distribution moments. In particular, the exact value of the mean and variance of the largest eigenvalue associated a three-dimensional random pairwise comparison matrix are calculated, and are compared with those obtained by others on the topic. For n = 4 to 15, the mean and variance are determined by simulation. The number of simulation runs are determined by taking both the absolute and the relative simulation errors into the consideration.
ISSN:0360-8352
1879-0550
DOI:10.1016/0360-8352(94)90319-0