Abstract
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.
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This research was supported by a Hong Kong RGC Competitive Earmarked Research Grant.
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Leung, L., Hui, Y. & Zheng, M. Analysis of compatibility between interdependent matrices in ANP. J Oper Res Soc 54, 758–768 (2003). https://doi.org/10.1057/palgrave.jors.2601569
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DOI: https://doi.org/10.1057/palgrave.jors.2601569