Ülkelerin Afet Riski Performans Değerlendirmesi: Bulanık Mantık Uygulaması

Bu çalışmada; afet öncesi ve afet sonrasını kapsayan afet yönetimi süreci incelenmiştir. Ülkelerin afet yönetimi performanslarını diğer ülkelerle karşılaştırmalarını sağlayacak bir model geliştirilerek örnek bir uygulama sunulması amaçlanmıştır. Çalışmanın örneklemi 4 farklı ülke için alanında uzman 5 akademisyenin görüşü alınarak belirlenmiştir. Ölçülen risk değerleri bulanık sayılara dönüştürülerek ana risk ve alt risk değerleri oluşturulmuştur. Ülkelerin afet risk yönetimi performansını karşılaştırmak için bulanık ağırlıklı ortalama (FWA) algoritması kullanılmıştır. Elde edilen sonuçlar ülkelerin afet sonrası aşamada afet öncesi aşamaya göre daha başarılı olduğunu ve örneklemde simgesel olarak gösterilen A ülkesinin risk performans değeri en yüksek olduğunu göstermiştir.

Anahtar Kelimeler:

Doğal afetler, Risk performans değerlendirmesi, Bulanık mantık

Disaster Risk Performance Assessment of Countries: Application of Fuzzy Logic

In this study; The disaster management process, including pre-disaster and post-disaster, has been examined. It is aimed to present a model application by developing a model that will enable countries to compare their disaster management performances with other countries. The sample of the study was determined for 4 different countries by taking the opinions of 5 academicians who are experts in their fields. The main risk and sub-risk values were created by converting the measured risk values into fuzzy numbers. It uses fuzzy weighted average (FWA) algorithm to compare disaster risk management performance of countries. The results have shown that countries are more successful in the post-disaster phase than the pre-disaster phase, and the risk performance value of country A, which is symbolically shown in the sample, is the highest.

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