A type-2 fuzzy intelligent agent based on sparse kernel machines for reducing bullwhip effect in supply chain

In this paper, a new type-2 fuzzy intelligent agent system (T2F-IAS) for reducing bullwhip effect in a supply chain is proposed. This system uses a special kind of sparse kernel machines, called support vector regression, for forecasting future demands of each echelon in a supply chain. The T2F-IAS...

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Vydané v:	2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC) s. 1 - 7
Hlavní autori:	Gamasaee, R., Fazel Zarandi, M. H., Turksen, I. B.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2015
Predmet:	Bullwhip effect Demand forecasting Expert systems Forecasting Intelligent agent system Intelligent agents Kernel Sparse kernel machines Steel Sulfur Supply chains Type-2 fuzzy
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