A new objective weighting method based on robustness of ranking with standard deviation and correlation: The ROCOSD method

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dc.authorid0000-0002-2634-2653en_US
dc.contributor.authorPala, Osman
dc.date.accessioned2023-04-27T06:07:07Z
dc.date.available2023-04-27T06:07:07Z
dc.date.issued2023en_US
dc.departmentKMÜ, İktisadi ve İdari Bilimler Fakültesi, Uluslararası Ticaret ve İşletmecilik Bölümü en_US
dc.descriptionWOS:000982263100001en_US
dc.description.abstractIn this study, we proposed a new objective criteria weighting method simultaneously addressing standard deviations, correlation coefficients and robustness of ranking. The Robustness, Correlation, and Standard Deviation (ROCOSD) method assigns weight values according to three objectives. The first objectives are intended to minimize the overall maximum deviation from the ratio that the criteria deserve and are based on calculated standard deviations and correlation coefficients. The final one maximizes the minimum change in any criteria weight which leads to a rank reversal on alternatives. We focused on four cases and examined the proposed method, and later created a comparative analysis based on the application of five well-known methods. The average rank correlation consistency and weighting accuracy indicated that ROCOSD achieved better statistics in various ranges (0.0365% to 37.3393%), (4.6292% to 28.4925%) respectively. Compared to other well-known techniques, the average results for robustness, the primary tenet of ROCOSD, demonstrated that the proposed approach yielded far better results (ranging from 1.6407 to 6.4706 times). With the aim of determining the performance of the ROCOSD method in real-life applications, we examined e-government development and evaluated the effectiveness and success of the ROCOSD method.en_US
dc.identifier.citationPala, O. (2023). A new objective weighting method based on robustness of ranking with standard deviation and correlation: The ROCOSD method. Information Sciences, 636 doi:10.1016/j.ins.2023.04.009en_US
dc.identifier.doi10.1016/j.ins.2023.04.009
dc.identifier.issn0020-0255
dc.identifier.scopus2-s2.0-85152128226
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.ins.2023.04.009
dc.identifier.urihttps://hdl.handle.net/11492/7114
dc.identifier.volume636en_US
dc.identifier.wosWOS:000982263100001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Sceince
dc.indekslendigikaynakScopus
dc.institutionauthorPala, Osman
dc.language.isoen
dc.publisherElsevier Inc.en_US
dc.relation.journalInformation Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCorrelationen_US
dc.subjectCriteria Weightingen_US
dc.subjectE-Government Developmenten_US
dc.subjectMultiple Criteria Analysisen_US
dc.subjectRobustnessen_US
dc.subjectStandard Deviationen_US
dc.titleA new objective weighting method based on robustness of ranking with standard deviation and correlation: The ROCOSD methoden_US
dc.typeArticle

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