A C4.5 Fuzzy Decision Tree Method for Multivariate Time Series Forecasting

2021 ◽  
Author(s):  
Rafael R. C. Silva ◽  
Walmir Matos Caminhas ◽  
Petronio Candido de Lima e Silva ◽  
Frederico Gadelha Guimaraes
Keyword(s):  
Time Series ◽  
Decision Tree ◽  
Multivariate Time Series ◽  
Time Series Forecasting ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Decision Tree Method ◽  
Tree Method

Fuzzy Decision Tree Approach for Optimal Supplier Base

2013 ◽  
Vol 315 ◽  
pp. 283-287
Author(s):  
Hock Kheng Sim ◽  
Zhi Xin Wong
Keyword(s):  
Decision Tree ◽  
Optimal Number ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Linguistic Terms ◽  
Decision Tree Method ◽  
Supplier Risk ◽  
Production Decision ◽  
Tree Approach ◽  
Tree Method

Minimizing supplier base allows better supplier relationship management, but any supplier failure will interrupt the supplies chain. Earth quake in Fukushima, Japan and flood in Bangkok, Thailand, caused supply chain breakdown and affect the global production. Decision tree method is recommended to determine optimal number of supplier in supplier base with the risk of supplier failure. This paper presented an approach to integrate fuzzy logic in decision tree approach by rating the supplier risk in linguistic terms for imperfect environment. Numerical example and sensitivity are carried out and presented, and optimal supplier base was identified.

Evolving and clustering fuzzy decision tree for financial time series data forecasting

2009 ◽  
Vol 36 (2) ◽  
pp. 3761-3773 ◽  
Author(s):  
Robert K. Lai ◽  
Chin-Yuan Fan ◽  
Wei-Hsiu Huang ◽  
Pei-Chann Chang
Keyword(s):  
Time Series ◽  
Decision Tree ◽  
Time Series Data ◽  
Financial Time Series ◽  
Series Data ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Financial Time
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