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...

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Bibliographic Details
Main Authors: Kays, H. M.Emrul, Karim, A.N. Mustafizul, Che Daud, Mohd Radzi, Varela, Leonilde, Putnik, Göran, Machado, Jose
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