Detecting and adjusting inconsistencies through a graphical and optimal approach in AHP

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dc.contributor.authorNavidi, H.
dc.contributor.authorAhmadi, M.
dc.date.accessioned2024-07-12T20:50:06Z
dc.date.available2024-07-12T20:50:06Z
dc.date.issued2009en_US
dc.departmentFakülteler, İnsan ve Toplum Bilimleri Fakültesi, Matematik Bölümüen_US
dc.description.abstractIt is difficult to rank the alternatives in an ordinal or/and cardinal inconsistent AHP model. There is an iterative method to detect and adjust inconsistencies. In this study it is improved, lots of conditions omitted and it is confirmed by the numerical results by MATLAB. Gower Plot upon the singular value decomposition of paired comparisons matrix is used to detect inconsistencies. The improved optimization model provides suggested adjustments satisfying the bounds determinate by decision maker. After observing suggested numerical changes and Gower Plot the decision maker may revise iteratively the preferences to improve inconsistencies.en_US
dc.identifier.citationNavidi, H. ve Ahmadi, M. (2009). Detecting and adjusting inconsistencies through a graphical and optimal approach in AHP. Maltepe Üniversitesi. s. 179.en_US
dc.identifier.endpage180en_US
dc.identifier.isbn9.78605E+12
dc.identifier.startpage179en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12415/2280
dc.language.isoenen_US
dc.publisherMaltepe Üniversitesien_US
dc.relation.ispartofInternational Conference of Mathematical Sciencesen_US
dc.relation.publicationcategoryUluslararası Konferans Öğesi - Başka Kurum Yazarıen_US
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.snmzKY07607
dc.titleDetecting and adjusting inconsistencies through a graphical and optimal approach in AHPen_US
dc.typeConference Object
dspace.entity.typePublication

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