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Ishizaka, A. (2012). Clusters and pivots for evaluating a large number of alternatives in AHP. Pesquisa Operacional, 31(1), 87–101. Added by: Klaus D. Goepel (07 Jun 2019 06:59:02 Asia/Singapore) Last edited by: Klaus-admin (08 Jun 2019 03:11:19 Asia/Singapore) |
| Resource type: Journal Article BibTeX citation key: Ishizaka2012 Email resource to friend View all bibliographic details  |
Categories: AHP/ANP Keywords: alternatives, Analytic Hierarchy Process (AHP), cluster, pivot Creators: Ishizaka Collection: Pesquisa Operacional |
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| Abstract |
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AHP has been successful in many cases but it has a major limitation: a larger number of alternatives requires a high number of judgements in the comparison matrices. In order to reduce this problem, we present a method with clusters and pivots. This method also helps with a further four problems of the Analytic Hierarchy Process. It enlarges the comparison scale, facilitates the construction of a consistent or near consistent matrix, eliminates the problem of the choice of the priorities derivation method and allows the use of incomparable alternatives.
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| Notes |
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For each criterion the alternatives are preordered. Alternatives are divided into clusters. Comparisons are entered in clustered matrices and priorities are calculated. Priorities of the clusters are joined with a common element: “the pivot”.
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