Analysis of compatibility between interdependent matrices in ANP

Analytic network process (ANP) addresses multi-attribute decision-making where attributes exhibit dependencies. A principal characteristic of such problems is that pairwise comparisons are needed for attributes that have interdependencies. We propose that before such comparison matrices are used-in...

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Veröffentlicht in:The Journal of the Operational Research Society 2003-07, Vol.54 (7), p.758-768
Hauptverfasser: Leung, L C, Hui, Y V, Zheng, M
Format: Artikel
Sprache:eng
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Zusammenfassung:Analytic network process (ANP) addresses multi-attribute decision-making where attributes exhibit dependencies. A principal characteristic of such problems is that pairwise comparisons are needed for attributes that have interdependencies. We propose that before such comparison matrices are used-in addition to a test that assesses the consistency of a pairwise comparison matrix-a test must also be conducted to assess 'consistency' across interdependent matrices. We call such a cross-matrix consistency test as a compatibility test. In this paper, we design a compatibility test for interdependent matrices between two clusters of attributes. We motivate our exposition by addressing compatibility in Sinarchy, a special form of ANP where interdependency exists between the last and next-to-last level. The developed compatibility test is applicable to any pair of interdependent matrices that are a part of an ANP.
ISSN:0160-5682
1476-9360
DOI:10.1057/palgrave.jors.2601569