Fuzzy ınference modeling with the help of fuzzy clustering for predicting the occurrence of adverse events in an active theater of war

Basit Öğe Kaydı
dc.contributor.authorÇakıt, Erman
dc.contributor.authorKarwowski, Waldemar
dc.date.accessioned2019-07-10T12:21:03Z
dc.date.available2019-07-10T12:21:03Z
dc.date.issued2015
dc.departmentMühendislik Fakültesi
dc.descriptionÇakıt, Erman (Aksaray, Yazar)
dc.description.abstractThis study investigated the relationship between adverse events and infrastructure development projects in an active theater of war using fuzzy inference systems (FIS) with the help of fuzzy clustering that directly benefits from its prediction accuracy. Fourteen developmental and economic improvement projects were selected as independent variables. These were based on allocated budgets and included a number of projects from different time periods, urban and rural population density, and total number of adverse events during the previous month. A total of four outputs reflecting the adverse events in terms of the number of people killed, wounded, or hijacked and the total number of adverse events has been estimated. The performance of each model was investigated and compared to all other models with calculated mean absolute error (MAE) values. Prediction accuracy was also tested within ±1 (difference between actual and predicted value) with values around 90%. Based on the results, it was concluded that FIS is a useful modeling technique for predicting the number of adverse events based on historical development or economic project data. © 2015 Taylor & Francis Group, LLC.
dc.identifier.doi10.1080/08839514.2015.1097140
dc.identifier.endpage961en_US
dc.identifier.issn0883-9514
dc.identifier.issue10en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage945en_US
dc.identifier.urihttps:/dx.doi.org/10.1080/08839514.2015.1097140
dc.identifier.urihttps://hdl.handle.net/20.500.12451/2095
dc.identifier.volume29en_US
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor and Francis Inc.
dc.relation.ispartofApplied Artificial Intelligence
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.titleFuzzy ınference modeling with the help of fuzzy clustering for predicting the occurrence of adverse events in an active theater of war
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
cakit-erman-2015.pdf
Boyut:
587.69 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu