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dc.contributor.authorØverland, Indra
dc.contributor.authorJuraev, Javlon
dc.date.accessioned2019-10-31T18:00:27Z
dc.date.available2019-10-31T18:00:27Z
dc.date.created2019-04-30T17:13:07Z
dc.date.issued2019
dc.identifier.citationAlgorithms. 2019, 12 (1), 1-14.nb_NO
dc.identifier.issn1999-4893
dc.identifier.urihttp://hdl.handle.net/11250/2625995
dc.description.abstractThis paper develops an automated algorithm to process input data for segmented string relative rankings (SSRRs). The purpose of the SSRR methodology is to create rankings of countries, companies, or any other units based on surveys of expert opinion. This is done without the use of grading systems, which can distort the results due to varying degrees of strictness among experts. However, the original SSRR approach relies on manual application, which is highly laborious and also carries a risk of human error. This paper seeks to solve this problem by further developing the SSRR approach by employing link analysis, which is based on network theory and is similar to the PageRank algorithm used by the Google search engine. The ranking data are treated as part of a linear, hierarchical network and each unit receives a score according to how many units are positioned below it in the network. This approach makes it possible to efficiently resolve contradictions among experts providing input for a ranking. A hypertext preprocessor (PHP) script for the algorithm is included in the article’s appendix. The proposed methodology is suitable for use across a range of social science disciplines, especially economics, sociology, and political science. Algorithm for Producing Rankings Based on Expert Surveys
dc.language.isoengnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleAlgorithm for producing rankings based on expert surveysnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersion
dc.source.pagenumber1-14nb_NO
dc.source.volume12nb_NO
dc.source.journalAlgorithmsnb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.3390/a12010019
dc.identifier.cristin1694885
cristin.unitcode7471,11,0,0
cristin.unitnameRussland, Eurasia og internasjonal handel
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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