A collaborative multiplicative Holt-Winters forecasting approach with dynamic fuzzy-level component
The adoption of forecasting approaches such as the multiplicative Holt-Winters (MHW) model is preferred in business, especially for the prediction of future events having seasonal and other causal variations. However, in the MHW model the initial values of the time-series parameters and smoothing...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English English English |
| Published: |
Multidisciplinary Digital Publishing Institute (MDPI)
2018
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/63927/ http://irep.iium.edu.my/63927/ http://irep.iium.edu.my/63927/ http://irep.iium.edu.my/63927/1/63927_A%20Collaborative%20Multiplicative%20Holt-Winters_article.pdf http://irep.iium.edu.my/63927/2/63927_A%20Collaborative%20Multiplicative%20Holt-Winters_scopus.pdf http://irep.iium.edu.my/63927/13/63927_A%20collaborative%20multiplicative%20Holt-Winters%20forecasting%20approach%20with%20dynamic%20fuzzy-level%20component_WOS.pdf |
Internet
http://irep.iium.edu.my/63927/http://irep.iium.edu.my/63927/
http://irep.iium.edu.my/63927/
http://irep.iium.edu.my/63927/1/63927_A%20Collaborative%20Multiplicative%20Holt-Winters_article.pdf
http://irep.iium.edu.my/63927/2/63927_A%20Collaborative%20Multiplicative%20Holt-Winters_scopus.pdf
http://irep.iium.edu.my/63927/13/63927_A%20collaborative%20multiplicative%20Holt-Winters%20forecasting%20approach%20with%20dynamic%20fuzzy-level%20component_WOS.pdf