dc.creator | Blanquero Bravo, Rafael | es |
dc.creator | Carrizosa Priego, Emilio José | es |
dc.creator | Conde Sánchez, Eduardo | es |
dc.date.accessioned | 2016-10-20T12:19:23Z | |
dc.date.available | 2016-10-20T12:19:23Z | |
dc.date.issued | 2006-10 | |
dc.identifier.citation | Blanquero Bravo, R., Carrizosa Priego, E.J. y Conde Sánchez, E. (2006). Inferring efficient weights from pairwise comparison matrices. Mathematical Methods of Operations Research, 64 (2), 271-284. | |
dc.identifier.issn | 1432-2994 | es |
dc.identifier.issn | 1432-5217 | es |
dc.identifier.uri | http://hdl.handle.net/11441/47872 | |
dc.description.abstract | Several multi-criteria-decision-making methodologies assume the existence of weights associated with the different criteria, reflecting their relative importance.One of the most popular ways to infer such weights is the analytic hierarchy process, which constructs first a matrix of pairwise comparisons, from which weights are derived following one out of many existing procedures, such as the eigenvector method or the least (logarithmic) squares. Since different procedures yield different results (weights) we pose the problem of describing the set of weights obtained by “sensible” methods: those which are efficient for the (vector-) optimization problem of simultaneous minimization of discrepancies. A characterization of the set of efficient solutions is given, which enables us to assert that the least-logarithmic-squares solution is always efficient, whereas the (widely used) eigenvector solution is not, in some cases, efficient, thus its use in practice may be questionable. | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología | es |
dc.description.sponsorship | Fondo Europeo de Desarrollo Regional | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | Mathematical Methods of Operations Research, 64 (2), 271-284. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Decision analysis | es |
dc.subject | Multi-objective | es |
dc.subject | Optimization | es |
dc.subject | Fractional programming | es |
dc.title | Inferring efficient weights from pairwise comparison matrices | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Estadística e Investigación Operativa | es |
dc.relation.projectID | BFM2002-04525-C02-02 | es |
dc.relation.projectID | BFM2002-11282-E | es |
dc.relation.publisherversion | http://download.springer.com/static/pdf/467/art%253A10.1007%252Fs00186-006-0077-1.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs00186-006-0077-1&token2=exp=1476967042~acl=%2Fstatic%2Fpdf%2F467%2Fart%25253A10.1007%25252Fs00186-006-0077-1.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Farticle%252F10.1007%252Fs00186-006-0077-1*~hmac=7da6259e044439479c86f479200fb94ae1c1c7c9038fa02a0e710db82f773933 | es |
dc.identifier.doi | 10.1007/s00186-006-0077-1 | es |
dc.contributor.group | Universidad de Sevilla. FQM329: Optimización | es |
dc.contributor.group | Universidad de Sevilla. FQM331: Métodos y Modelos de la Estadística y la Investigación Operativa | es |
idus.format.extent | 13 p. | es |
dc.journaltitle | Mathematical Methods of Operations Research | es |
dc.publication.volumen | 64 | es |
dc.publication.issue | 2 | es |
dc.publication.initialPage | 271 | es |
dc.publication.endPage | 284 | es |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/47872 | |
dc.contributor.funder | Ministerio de Ciencia y Tecnología (MCYT). España | |
dc.contributor.funder | European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER) | |