Fuzzy time series forecasting model based on various types of similarity measure approach / Nik Muhammad Farhan Hakim Nik Badrul Alam and Nazirah Ramli
Fuzzy time series(FTS) is a well-known method for forecasting the time series data in linguistic values. Recently, a few studies have used the similarity measure approach in determining the performance of the FTS forecasting model. In this paper, an FTS forecasting model based on seven intervals of...
Saved in:
Main Authors: | Nik Badrul Alam, Nik Muhammad Farhan Hakim (Author), Ramli, Nazirah (Author) |
---|---|
Format: | Book |
Published: |
Universiti Teknologi MARA Cawangan Pahang,
2019.
|
Subjects: | |
Online Access: | Link Metadata |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fuzzy time series forecasting model based on second orderfuzzy logical relationship and similarity measure / Nik Muhammad Farhan Hakim Nik Badrul Alam and Nazirah Ramli
by: Nik Badrul Alam, Nik Muhammad Farhan Hakim, et al.
Published: (2019) -
Predicting Malaysian crude palm oil prices using intuitionistic fuzzy time series forecasting model / Nik Muhammad Farhan Hakim Nik Badrul Alam, Nazirah Ramli and Asyura Abd Nassir
by: Nik Badrul Alam, Nik Muhammad Farhan Hakim, et al.
Published: (2022) -
Comparison of interval lengths for the intuitionistic fuzzy time series forecasting model / Nik Muhammad Farhan Hakim Nik Badrul Alam ... [et al.]
by: Nik Badrul Alam, Nik Muhammad Farhan Hakim, et al.
Published: (2022) -
Prioritizing chapter importance for intensive mathematics using fuzzy analytical hierarchy process / Nik Muhammad Farhan Hakim Nik Badrul Alam, Nazihah Ismail and Anisah Dasman
by: Nik Badrul Alam, Nik Muhammad Farhan Hakim, et al.
Published: (2021) -
Teaching and learning algebra in attractive ways: Perception and acceptance of pre-diploma students in UiTM Jengka, Pahang / Nik Muhammad Farhan Hakim Nik Badrul Alam, Fadila Amira Razali and YM Tengku Noorhalina YM Tengku Ahmad Putra
by: Nik Badrul Alam, Nik Muhammad Farhan Hakim, et al.
Published: (2021)