Proceedings of the Twenty-Eighth Hawaii International Conference on System Sciences
DOI: 10.1109/hicss.1995.375648
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Effect of visualization on the decision maker when using analytic hierarchy process

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Cited by 6 publications
(5 citation statements)
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“…The matrix of preferences can now be used to find weights (a vector, ) for each factor by finding the eigenvector corresponding to the largest eigenvalue ( max ) of the matrix [1,20]. The eigenvector gives the weights and if the preferences are perfectly consistent (i.e.…”
Section: Application Of the Methodologymentioning
confidence: 99%
“…The matrix of preferences can now be used to find weights (a vector, ) for each factor by finding the eigenvector corresponding to the largest eigenvalue ( max ) of the matrix [1,20]. The eigenvector gives the weights and if the preferences are perfectly consistent (i.e.…”
Section: Application Of the Methodologymentioning
confidence: 99%
“…Findings related to effectiveness of decision aids in complex environments have been equivocal. Some studies report improved consistency in decision making for complex tasks with use of visual cues when using the Analytic Hierarchy Process (Vila and Beccue, 1995). Others concluded, e.g.…”
Section: Elaboration Of the Dmus Model Of Decision Making Under Stressmentioning
confidence: 99%
“… Tutarlılık Analizi: AHP yönteminde özvektörler; tutarlılığın analiz edilmesinde ve ikili karşılaştırmaların yansıtıldığı aktörlerin yargılarındaki açıların ölçümünde kullanılmaktadır. Bu anlamda, en büyük öz değer max olarak tanımlanmakta ve tutarlılığın değerlendirilmesini sağlamaktadır 431 . Öncelikle, ikili karşılaştırma matrisinin karesi alınarak matris normalize edilmektedir.…”
Section: Anket Yöntemiunclassified