Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/30451
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDrakaki, M.-
dc.contributor.authorGören, Hacer Güner-
dc.contributor.authorTzionas, P.-
dc.date.accessioned2020-06-08T12:13:25Z-
dc.date.available2020-06-08T12:13:25Z-
dc.date.issued2019-
dc.identifier.isbn18651348 (ISSN)-
dc.identifier.isbn9783030188184-
dc.identifier.urihttps://hdl.handle.net/11499/30451-
dc.identifier.urihttps://doi.org/10.1007/978-3-030-18819-1_1-
dc.description.abstractRefugees and migrants arrivals in the Mediterranean since 2014 have resulted in humanitarian relief operations at national and international levels. Decision making by relevant actors in all aspects of humanitarian response impacts on the well-being of People of Concern (PoC). Site management decisions take into account a wide range of criteria in diverse sectors, including protection of PoC. Criteria address basic relief response, such as water, sanitation and nutrition, social characteristics, as well as protection of PoC. In particular, site management decisions may affect relationships between PoC, leading to tensions or peaceful coexistence between PoC. In this paper a decision making process is proposed for the forecasting of emotions in PoC sites in order to assist site management decisions, particularly in the context of avoidance of tensions. The method uses Fuzzy Cognitive Maps (FCM) to forecast emotions based on input data obtained from site management reports. Historical data from site management reports in Greece have been used for deriving the indicators used in the input layer of the designed FCM. The proposed method will be applied to forecast potential tensions in PoC sites in Greece. © 2019, Springer Nature Switzerland AG.en_US
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial emotion forecastingen_US
dc.subjectDecision support methoden_US
dc.subjectFuzzy cognitive mapsen_US
dc.subjectRefugee crisisen_US
dc.subjectRefugee site managementen_US
dc.subjectArtificial intelligenceen_US
dc.subjectBehavioral researchen_US
dc.subjectCognitive systemsen_US
dc.subjectDecision support systemsen_US
dc.subjectForecastingen_US
dc.subjectFuzzy rulesen_US
dc.subjectArtificial emotionsen_US
dc.subjectDecision supportsen_US
dc.subjectFuzzy cognitive mapen_US
dc.subjectSite managementen_US
dc.subjectDecision makingen_US
dc.titleFuzzy Cognitive Maps as a Tool to Forecast Emotions in Refugee and Migrant Communities for Site Managementen_US
dc.typeConference Objecten_US
dc.identifier.volume348en_US
dc.identifier.startpage3-
dc.identifier.startpage3en_US
dc.identifier.endpage14en_US
dc.authorid0000-0003-0297-7571-
dc.identifier.doi10.1007/978-3-030-18819-1_1-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-85066139833en_US
dc.ownerPamukkale University-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Object-
crisitem.author.dept10.09. Industrial Engineering-
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

6
checked on Sep 30, 2024

Page view(s)

38
checked on Aug 24, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.