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Etna Vianita
Department of Mathematics, Universitas Diponegoro
Mathematics

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Triangular Fuzzy Time Series for Two Factors High-order based on Interval Variations A. Nafis Haikal; Etna Vianita; Muhammad Sam'an; Bayu Surarso; Susilo Hariyanto
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 6, No 3 (2022): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v6i3.8627

Abstract

Fuzzy time series (FTS) firstly introduced by Song and Chissom has been developed to forecast such as enrollment data, stock index, air pollution, etc. In forecasting FTS data several authors define universe of discourse using coefficient values with any integer or real number as a substitute. This study focuses on interval variation in order to get better evaluation. Coefficient values analyzed and compared in unequal partition intervals and equal partition intervals with base and triangular fuzzy membership functions applied in two factors high-order. The study implemented in the Shen-hu stock index data. The models evaluated by average forecasting error rate (AFER) and compared with existing methods. AFER value 0.28% for Shen-hu stock index daily data. Based on the result, this research can be used as a reference to determine the better interval and degree membership value in the fuzzy time series. 
Co-Authors A. Nafis Haikal Bayu Surarso Muhammad Sam'an Susilo Hariyanto