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

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.
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Sprache:eng
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Complexity
Computer Science
Information Storage and Retrieval
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container_title Optical memory & neural networks
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creator Karpenko, A. P.
Moor, D. A.
Mukhlisullina, D. T.
description 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.
doi_str_mv 10.3103/S1060992X12010031
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subjects Complexity
Computer Science
Information Storage and Retrieval
title Multicriteria optimization based on neural network, fuzzy and neuro-fuzzy approximation of decision maker’s utility function
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