A linear programming method for generating the most favorable weights from a pairwise comparison matrix

DOI10.1016/j.cor.2007.05.002zbMath1278.90261OpenAlexW2035981721MaRDI QIDQ925836

Celik Parkan, Ying Luo, Ying-Ming Wang

Publication date: 23 May 2008

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2007.05.002

zbMATH Keywords

analytic hierarchy processmulticriteria decision analysisdata envelopment analysisrank preservationmost favorable weights

Mathematics Subject Classification ID

Linear programming (90C05) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)

Related Items (7)

Single machine scheduling models with deterioration and learning: Handling precedence constraints via priority generation ⋮ Generalized analytic network process ⋮ Ranking all DEA-efficient DMUs based on cross efficiency and analytic hierarchy process methods ⋮ A new AHP‐prioritization method based on linear programming for crisp and interval preference relations ⋮ Bi-criteria evolution strategy in estimating weights from the AHP ratio-scale matrices ⋮ Enumerating all spanning trees for pairwise comparisons ⋮ A new proposed model of restricted data envelopment analysis by correlation coefficients

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