Type 2 Fuzzy Inference-Based Time Series Model
Fuzzy techniques have been suggested as useful method for forecasting performance. However, its dependency on experts’ knowledge causes difficulties in information extraction and data collection. Therefore, to overcome the difficulties, this research proposed a new type 2 fuzzy time series (T2FTS) f...
Saved in:
Main Authors: | Nur Fazliana, Rahim, Mahmod, Othman, Rajalingam, Sokkalingam, Evizal, Abdul Kadir |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019
|
Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/27988/1/Type%202%20Fuzzy.pdf http://ir.unimas.my/id/eprint/27988/ https://www.mdpi.com/journal/symmetry |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Interval Based in Fuzzy Sliding Window for Forecasting Crude Palm Oil
by: Nur Fazliana, Rahim, et al.
Published: (2020) -
Forecasting Model using Fuzzy Time Series for Tourist Arrivals in Langkawi
by: Nur Fazliana, Rahim, et al.
Published: (2023) -
Crude Palm Oil Prices Forecasting using Type 2 Fuzzy Time Series and Reasoning Based Model
by: RAHIM, NUR FAZLIANA
Published: (2021) -
Improved models in fuzzy time series for forecasting
by: Sadaei, Hossein Javedani
Published: (2013) -
Monotone Interval Fuzzy Inference Systems
by: Yi, Wen Kerk, et al.
Published: (2019)