Ranking of high human development countries with respect to variables relating with female living standards by using MOORA method

dc.authorid0000-0002-9535-4527en_US
dc.contributor.authorTuranlı, Münevver
dc.contributor.authorBaşar, Özlem Deniz
dc.date.accessioned2019-11-01T11:44:54Z
dc.date.available2019-11-01T11:44:54Z
dc.date.issued2018en_US
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.description.abstractVarious indices are being formed for comparing the standards of countries and by using these indices, the development status of countries are being compared with each other and at the same time, the features of countries that need to be developed are also specified. While these indices are calculated for certain variables, indicators are created separately for women and men. In this study, it is aimed to rank the countries as per the living standards of women. This ranking has been done by using MOORA method, which is one of the multi criteria decision making methods. MOORA is used with many different algorithms. Among these, the most widely used one, Ratio System Approach is used for this study. As a result of the analysis, ranking of living standards provided to women by countries within Human Development Index’s high human development category have been determined.en_US
dc.identifier.doi10.15640/ijgws.v6n1p10en_US
dc.identifier.endpage120en_US
dc.identifier.issue1en_US
dc.identifier.startpage111en_US
dc.identifier.urihttps://hdl.handle.net/11467/3077
dc.identifier.urihttps://doi.org/10.15640/ijgws.v6n1p10
dc.identifier.volume6en_US
dc.language.isoenen_US
dc.publisherAmerican Research Institute for Policy Developmenten_US
dc.relation.ispartofInternational Journal of Gender and Women’s Studiesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMOORAen_US
dc.subjectWomenen_US
dc.subjectHuman Development Indexen_US
dc.subjectRankingen_US
dc.titleRanking of high human development countries with respect to variables relating with female living standards by using MOORA methoden_US
dc.typeArticleen_US

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