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handle: 11480/2869 , 20.500.12697/1207 , 20.500.12712/6876
To obtain inflation forecasts is an important economic issue. The more accurate forecasts we get implies the more precise decisions we make. The central Bank reports inflation rates in certain periods of every year. In this reports the results of inflation expectation survey are presented. In this study we use an approach in which relationship is determined by artificial neural network in high order fuzzy time series model. Time series of consumer price index is estimated by both the artificial neural network based method and some fuzzy approaches which is common in the literature. The results are compared to the results of inflation expectation survey analysis conducted by Central Bank of the Republic of Turkey in the aspect of forecasts accuracy
Enflasyon öngörülerinin elde edilmesi önemli bir ekonomik problemdir. Öngörülerin daha do ru elde edilmesi daha do ru kararlara neden olacakt r. T.C. Merkez bankas her y l n belirli dönemlerinde enflasyon raporlar yay nlamaktad r. Raporlarda enflasyon beklentisi anketi sonuçlar yer almaktad r. Bu çal mada tüketici fiyat endeksi yüksek dereceli bulan k zaman serisi yakla m ile öngörülmü tür. Yüksek dereceli bulan k zaman serisi modelinde ili kilerin belirlenmesi yapay sinir a lar ile yap lmaktad r. Tüketici fiyat endeksi zaman serisi, ayr ca literatürde yer alan baz bulan k zaman serisi yakla mlar ile tahmin edilerek, öngörü do rulu u aç s ndan T.C. Merkez Bankas enflasyon beklentisi anketi sonuçlar ile kar la t r lm t r
Tarih, Bulanık zaman serileri;yapay sinir ağları;öngörü, Bulan k Zaman Serileri, Fuzzy time series;artificial neural networks;forecasting, Yapay Sinir A lar, Öngörü, Sosyal Bilimler Tarihi
Tarih, Bulanık zaman serileri;yapay sinir ağları;öngörü, Bulan k Zaman Serileri, Fuzzy time series;artificial neural networks;forecasting, Yapay Sinir A lar, Öngörü, Sosyal Bilimler Tarihi
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