Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Developing growing hierarchical structures for decision making

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dc.contributor.authorBeldek, Ulaş
dc.contributor.authorLeblebicioğlu, Kemal
dc.contributor.authorID59950tr_TR
dc.date.accessioned2020-04-09T21:59:38Z
dc.date.available2020-04-09T21:59:38Z
dc.date.issued2007
dc.departmentÇankaya Üniversitesi, Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği Bölümüen_US
dc.description.abstractThis study is about developing a hierarchical approach for decision-making problems. The development is done on a representative decision-making problem. A hierarchical decision making approach which enables fusion of decisions of previous and current levels is proposed. The agents that determine the decisions at different hierarchy levels is accomplished by utilizing a genetic algorithm.en_US
dc.identifier.citationBeldek, Ulaş; Leblebicioğlu, K., "Developing growing hierarchical structures for decision making", 2007 22nd International Symposium On Computer And Information Sciences, (2007).en_US
dc.identifier.isbn9781424413638
dc.identifier.urihttp://hdl.handle.net/20.500.12416/3032
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2007 22nd International Symposium On Computer And Information Sciencesen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInformationen_US
dc.titleDeveloping growing hierarchical structures for decision makingtr_TR
dc.titleDeveloping Growing Hierarchical Structures for Decision Makingen_US
dspace.entity.typePublication

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