Fuzzy time series forecasting model based on second orderfuzzy logical relationship and similarity measure / Nik Muhammad Farhan Hakim Nik Badrul Alam and Nazirah Ramli
Various fuzzy time series (FTS) forecasting methods have been proposed to cater for data in linguistic values. In this paper, an improved FTS forecasting method based on second order fuzzy logical relationship is proposed and it is used to forecast the enrollment of students in the University of Ala...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Published: |
Universiti Teknologi MARA, Perak,
2019-12.
|
| Subjects: | |
| Online Access: | Link Metadata |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000 am a22000003u 4500 | ||
|---|---|---|---|
| 001 | repouitm_39324 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Nik Badrul Alam, Nik Muhammad Farhan Hakim |e author |
| 700 | 1 | 0 | |a Ramli, Nazirah |e author |
| 245 | 0 | 0 | |a Fuzzy time series forecasting model based on second orderfuzzy logical relationship and similarity measure / Nik Muhammad Farhan Hakim Nik Badrul Alam and Nazirah Ramli |
| 260 | |b Universiti Teknologi MARA, Perak, |c 2019-12. | ||
| 500 | |a https://ir.uitm.edu.my/id/eprint/39324/1/39324.pdf | ||
| 520 | |a Various fuzzy time series (FTS) forecasting methods have been proposed to cater for data in linguistic values. In this paper, an improved FTS forecasting method based on second order fuzzy logical relationship is proposed and it is used to forecast the enrollment of students in the University of Alabama. The performance of the forecasted results is compared to the actual data by using seven different similarity measures. The hybrid similarity measure based on geometric distance, centre of gravity, area, perimeter and height gives the best performance. | ||
| 546 | |a en | ||
| 690 | |a Data processing | ||
| 690 | |a Fuzzy logic | ||
| 655 | 7 | |a Article |2 local | |
| 655 | 7 | |a PeerReviewed |2 local | |
| 787 | 0 | |n https://ir.uitm.edu.my/id/eprint/39324/ | |
| 787 | 0 | |n https://mijournal.wixsite.com/ | |
| 856 | 4 | 1 | |u https://ir.uitm.edu.my/id/eprint/39324/ |z Link Metadata |