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SEQUENCING GREY GAMES

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dc.creator Ergun, Serap
dc.creator ALPARSLAN GÖK, Sırma Zeynep
dc.creator Nizamoglu, Sule
dc.creator Weber, Gerhard Wilhelm
dc.creator PALANCI, Osman
dc.date 2019-12-31T21:00:00Z
dc.date.accessioned 2020-10-06T09:30:01Z
dc.date.available 2020-10-06T09:30:01Z
dc.identifier 1fdbc09f-3c4e-49d4-a004-83c2017ee856
dc.identifier 10.3934/jdg.2020002
dc.identifier https://avesis.sdu.edu.tr/publication/details/1fdbc09f-3c4e-49d4-a004-83c2017ee856/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/55061
dc.description The job scheduling problem is a notoriously difficult problem in combinatorial optimization and Operational Research. In this study, we handle the job scheduling problem by using a cooperative game theoretical approach. In the sequel, sequencing situations arising grom grey uncertainty are considered. Cooperative grey game theory is applied to analyze these situations. Further, grey sequencing games are constructed and grey equal gain splitting (GEGS) rule is introduced. It is shown that cooperative grey games are convex. An application is given based on Priority Based Scheduling Algorithm. The paper ends with a conclusion.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title SEQUENCING GREY GAMES
dc.type info:eu-repo/semantics/article


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