2013
DOI: 10.11634/216796061302287
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On Some Advancements within Certain Multicriteria Decision Making Support Methodology

Abstract: Deriving true priority vectors from intuitive pairwise comparison matrices (PCMs) and consistency measurement of decision makers judgments about their genuine weights are crucial issues within the multicriteria decision making support methodology called Analytic Hierarchy Process (AHP). The most popular procedure in the ranking process, constitutes the Right Eigenvector Method (REV). The inventor of the AHP convinces that as long as inconsistent PCMs are allowed in the AHP none of the other existing procedures… Show more

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Cited by 3 publications
(5 citation statements)
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“…It refers to every kind of errors, and it does not depend on the type of scale. A similar conclusion was gained earlier in literature [2,9] and our results are compatible with them. This issue is particularly important because forcing the reciprocity of PCM might be easily omitted in AHP procedure, especially when we use the GM to obtain PVE (or any other than Right Eigenvector Method).…”
Section: Discussionsupporting
confidence: 94%
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“…It refers to every kind of errors, and it does not depend on the type of scale. A similar conclusion was gained earlier in literature [2,9] and our results are compatible with them. This issue is particularly important because forcing the reciprocity of PCM might be easily omitted in AHP procedure, especially when we use the GM to obtain PVE (or any other than Right Eigenvector Method).…”
Section: Discussionsupporting
confidence: 94%
“…Because of the applying AHP in important fields of management and economy and military service (e.g. [2,9]), where wrong decision has significance meaning, choice appropriate scale seems crucial matter.…”
Section: Discussionmentioning
confidence: 99%
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