Gilar Hadiwijaya, 2015
METODE PENGEMBANGAN FUZZY TIME SERIES DENGAN FAKTOR PENDUKUNG UNTUK PERAMALAN DATA INDEKS HARGA SAHAM
Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu
63
Daftar Pustaka
Chen, S dan Chung, N. (2006). “Forecasting Enrollments of Students by Using
Fuzzy Time Series and Genetic Algorithms”. Information and Management
Sciences. 17, (3), 1-17.
Chen, S dan Hsu, C. (2004). “A New Method to Forecast Enrollments Using Fuzzy Time Series”. 2, (3), 234-244.
Soejoeti, Z, Ph.D. (1987). Analisis Runtun Waktu. Jakarta: Karunia Jakarta Universitas Terbuka.
Universitas Pendidikan Indonesia. (2008), Pedoman Penulisan Karya Ilmiah. Bandung : Upi Press.
Klir, G.J dan Yuan, B. (1995). Fuzzy Set and Fuzzy Logic Theory and Application. New Jersey: Prentice Hall P T R.
Pevva, K dan Kyosev, Y. (2004). Fuzzy Relational Calculus. USA: World Scientific.
Poulsen, J.R. (2009). Fuzzy Time Series Forecasting. Makalah pada Aalborg University Esbjerg (AAUE).
Jilani, T.A, et al. (2008). “Fuzzy Metric Approach for Fuzzy Time Series Forecasting based on Frequency Density Based Partitioning”. International Journal of Information and Mathematical Sciences. 4, (2), 112-117.
Sah, M dan Degtiarev, K.Y. (2005). “ F orecasting Enrollment Model Based on
First-Order Fuzzy Time Series”. Engineering and Technology. 1, 375-378.
Xihao, S dan Yimin, L. (2008). Average-based fuzzy time series models for forecasting shanghai compound index. World Journal of Modelling and Simulation. 4,(2), 104-111
Dunia Investasi.(2015).[online].Tersedia : http://www.duniainvestasi.com/ bei/ prices/stock [29 mei 2015]
