Saxena-Easo Fuzzy Time Series on Indonesia’s Inflation Rate Forecasting
Saxena-Easo Fuzzy Time Series (FTS) is a softcomputing method for forecasting using fuzzy concept. It doesn’t need any assumption like conventional forecasting method. Generally it’s focused on three important steps like percentage change as the universe of discourse, interval partition, and defuzzi...
Main Authors: | Lutvia Citra Ramadhani, Dian Anggraeni, Ahmad Kamsyakawuni |
---|---|
Format: | Article |
Language: | English |
Published: |
Fakultas MIPA Universitas Jember
2019-01-01
|
Series: | Jurnal Ilmu Dasar |
Online Access: | https://jurnal.unej.ac.id/index.php/JID/article/view/6881 |
Similar Items
-
Sinc Numeric Methods for Fox-H, Aleph (<i>ℵ</i>), and Saxena-I Functions
by: Gerd Baumann, et al.
Published: (2022-08-01) -
Distribution Based Fuzzy Time Series Markov Chain Models for forecasting Inflation in Bandung
by: Salsabila Ayu Pratiwi, et al.
Published: (2022-09-01) -
Refugee recognition in the EU: EASO's shifting role
by: Tsourdi, E
Published: (2020) -
EASO collaborating centers for obesity management (COMs)
by: Yumuk Volkan
Published: (2012-01-01) -
Forecasting Interest Rate of Bank Indonesia Certificate Based on Multivariate Fuzzy Time Series Data
by: Agus Maman Abadi, et al.
Published: (2010-07-01)