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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Published in | Computers & industrial engineering Vol. 27; no. 1; pp. 401 - 404 |
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Main Authors | , |
Format | Journal Article Conference Proceeding |
Language | English |
Published |
Seoul
Elsevier Ltd
01.09.1994
Oxford Pergamon Press New York, NY Pergamon Press Inc |
Subjects | |
Online Access | Get full text |
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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. |
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ISSN: | 0360-8352 1879-0550 |
DOI: | 10.1016/0360-8352(94)90319-0 |