Please use this identifier to cite or link to this item:
https://hdl.handle.net/11499/30451
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Drakaki, M. | - |
dc.contributor.author | Gören, Hacer Güner | - |
dc.contributor.author | Tzionas, P. | - |
dc.date.accessioned | 2020-06-08T12:13:25Z | - |
dc.date.available | 2020-06-08T12:13:25Z | - |
dc.date.issued | 2019 | - |
dc.identifier.isbn | 18651348 (ISSN) | - |
dc.identifier.isbn | 9783030188184 | - |
dc.identifier.uri | https://hdl.handle.net/11499/30451 | - |
dc.identifier.uri | https://doi.org/10.1007/978-3-030-18819-1_1 | - |
dc.description.abstract | Refugees 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.iso | en | en_US |
dc.publisher | Springer Verlag | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Artificial emotion forecasting | en_US |
dc.subject | Decision support method | en_US |
dc.subject | Fuzzy cognitive maps | en_US |
dc.subject | Refugee crisis | en_US |
dc.subject | Refugee site management | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | Behavioral research | en_US |
dc.subject | Cognitive systems | en_US |
dc.subject | Decision support systems | en_US |
dc.subject | Forecasting | en_US |
dc.subject | Fuzzy rules | en_US |
dc.subject | Artificial emotions | en_US |
dc.subject | Decision supports | en_US |
dc.subject | Fuzzy cognitive map | en_US |
dc.subject | Site management | en_US |
dc.subject | Decision making | en_US |
dc.title | Fuzzy Cognitive Maps as a Tool to Forecast Emotions in Refugee and Migrant Communities for Site Management | en_US |
dc.type | Conference Object | en_US |
dc.identifier.volume | 348 | en_US |
dc.identifier.startpage | 3 | - |
dc.identifier.startpage | 3 | en_US |
dc.identifier.endpage | 14 | en_US |
dc.authorid | 0000-0003-0297-7571 | - |
dc.identifier.doi | 10.1007/978-3-030-18819-1_1 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopus | 2-s2.0-85066139833 | en_US |
dc.owner | Pamukkale University | - |
item.openairetype | Conference Object | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 10.09. Industrial Engineering | - |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
CORE Recommender
SCOPUSTM
Citations
6
checked on Mar 29, 2025
Page view(s)
46
checked on Feb 8, 2025
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.