Deriving weights from general pairwise comparison matrices
The problem of deriving weights from pairwise comparison matrices has been treated extensively in the literature. Most of the results are devoted to the case when the matrix under consideration is reciprocally symmetric (i.e., the i, j-th element of the matrix is reciprocal to its j, i-th element for each i and j). However, there are some applications of the framework when the underlying matrices are not reciprocally symmetric. In this paper we employ both statistical and axiomatic arguments to derive weights from such matrices. Both of these approaches lead to geometric mean-type approximations. Numerical comparison of the obtained geometric mean-type solutions with Saaty's eigenvector method is provided also.
Year of publication: |
2008
|
---|---|
Authors: | Hovanov, Nikolai V. ; Kolari, James W. ; Sokolov, Mikhail V. |
Published in: |
Mathematical Social Sciences. - Elsevier, ISSN 0165-4896. - Vol. 55.2008, 2, p. 205-220
|
Publisher: |
Elsevier |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
Computing currency invariant indices with an application to minimum variance currency baskets
Hovanov, Nikolai V., (2004)
-
Hovanov, Nikolai V., (2007)
-
Computing and testing a stable common currency for Mercosur countries
Viale, Ariel M., (2008)
- More ...