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JET YAKIT ÜRETİMİ TAHMİNİNDE PARAMETRELERİN FARKI BAZLI BULANIK ZAMAN SERİSİ İLE İKİ FAKTÖR ZAMAN DEĞİŞİMLİ BULANIK ZAMAN SERİSİ METOTLARININ KARŞILAŞTIRMASI

COMPARISON OF FUZZY TIME SERIES BASED ON DIFFERENCE PARAMETERS AND TWO-FACTOR TIME-VARIANT FUZZY TIME SERIES MODELS FOR AVIATION FUEL PRODUCTION FORECASTING

Journal Name:

  • Havacılık ve Uzay Teknolojileri Dergisi

Publication Year:

  • 2010

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Time series models have been utilized to make accurate predictions in production. This paper employs a 3 year period of aviation fuel production data of Turkey as experimental data set. To forecast the aviation fuel production amounts, fuzzy time series forecasting based on difference parameters and two-factor time-variant fuzzy time series models are used and the results have been compared in this study. Based on the comparison results in the case of aviation fuel production, we conclude that both of the fuzzy time series models have advantages and disadvantages in use.
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Abstract (Original Language): 
Zaman serileri üretimde doğru tahminler yapmakta kullanılmaktadır. Bu makalede, deney veri seti olarak Türkiye'nin geçmiş 3 yıllık jet yakıt üretimi miktarları kullanılmıştır. Jet yakıt üretim miktarlarını tahmin edebilmek için parametrelerin farkı bazlı bulanık zaman serisi ile iki faktör zaman değişimli bulanık zaman serisi kullanılmış ve sonuçlar karşılaştırılmıştır. Jet yakıt üretim vakası için her iki bulanık zaman serisi metodunun da uygulamada avantajları ve dezavantajları olduğu sonucuna varılmıştır.
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  • Turkish

REFERENCES

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ECERKALE, KÜÇÜKDENİZ, ESNAF
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Comparison of Fuzzy Time Series Based on Difference Parameters and Two-Factor Time-Variant Fuzzy Time
Series Models for Aviation Fuel Production Forecasting
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