Multicriteria optimization based on neural network, fuzzy and neuro-fuzzy approximation of decision maker’s utility function

A direct adaptive method of multicriteria optimization based on neural network, fuzzy and neuro-fuzzy approximation of the decision maker’s utility function is introduced. A comparative analysis of efficiency of the various approximation techniques for solving two-and three-criterion optimization te...

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Veröffentlicht in:	Optical memory & neural networks 2012-03, Vol.21 (1), p.1-10
Hauptverfasser:	Karpenko, A. P., Moor, D. A., Mukhlisullina, D. T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Complexity Computer Science Information Storage and Retrieval
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	A direct adaptive method of multicriteria optimization based on neural network, fuzzy and neuro-fuzzy approximation of the decision maker’s utility function is introduced. A comparative analysis of efficiency of the various approximation techniques for solving two-and three-criterion optimization test problems is carried out.
ISSN:	1060-992X 1934-7898
DOI:	10.3103/S1060992X12010031