Incomplete pairwise comparison matrices in multi-attribute decision making

An extension of the pairwise comparison matrix is considered when some comparisons are missing. A generalization of the eigenvector method for the incomplete case is introduced and discussed as well as the Logarithmic Least Squares Method. The uniqueness problem regarding both weighting methods is s...

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Bibliographische Detailangaben

Hauptverfasser:	Bozoki, S., Fulop, J., Ronyai, L.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Automation Chromium Decision making eigenvalue optimization Eigenvalues and eigenfunctions incomplete pairwise comparison matrix Laboratories Least squares approximation Least squares methods Multi-attribute decision making Operations research Systems engineering and theory Technology management
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