Ham petrol fiyatlarının ANFIS ile tahmini

Year 2010, Issue: 17, 3 - 14, 01.01.2010

Oğuz Kaynar Metin Zontul Ferhan Demirkoparan

Abstract

Ekonomik kalkınmanın temel ağırlıklı girdisini oluşturan ve halen dünyadaki en önemli enerji kaynağı olma özelliğini koruyan petrol, doğrudan ya da dolaylı olarak tüm sektörleri etkilemektedir. Bu nedenle petrol piyasasında ve dolayısıyla fiyatında ortaya çıkan değişiklikler, oluşturdukları zincirleme reaksiyonlar aracılığı ile hem ülke, hem de dünya ekonomisi üzerinde çeşitli etkiler yaratmaktadır. Karmaşık dinamiklerinden dolayı, oldukça değişken ve etkileşimli bir yapıya sahip petrol piyasasında geleceğe yönelik etkili planlar yapmak için doğru ve güvenilir tahminlere gereksinim vardır. Bu çalışmada orta ve uzun vadeli petrol fiyatlarını tahmin etmek amacıyla bulanık çıkarım sistemleriyle yapay sinir ağlarının birleşiminden oluşan ANFIS (Adaptive Neuro Fuzzy Inference System) kullanılmıştır

Keywords

ANFIS, Ham Petrol, Tahmin

Crude oil price forecasting by using ANFIS

Abstract

Oil which is basic input of economic development and resumes to be the most important source of energy in the world, affects all sectors directly or indirectly. Consequently, the changes on petrol industry, and thus, on petrol prices create various effects on both country and world economy by means of chaining reactions turning up. For making affective plans for the future about petrol industry which has a considerably unsteady and interactive structure because of its complex dynamics, straight and confidential predictions are needed. So, ANFIS (Adaptive Neuro Fuzzy Inference System) which consists of integration of fuzzy inference systems and artificial neural networks is used to predict crude oil prices in middle and long term in this study

Keywords

ANFIS, Crude oil, Forecasting

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