A cognitive system based on fuzzy information processing and multi-objective evolutionary algorithm

A cognitive system is presented, which is based on coupling a multi-objective evolutionary algorithm with a fuzzy information processing system. The aim of the system is to identify optimal solutions for multiple criteria that involve linguistic concepts, and to systematically identify a most suitab...

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Veröffentlicht in:	2009 IEEE Congress on Evolutionary Computation S. 1271 - 1280
Hauptverfasser:	Bittermann, M.S., Ciftcioglu, O., Sariyildiz, I.S.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2009
Schlagworte:	Cognition cognitive design Decision making Design optimization Diversity methods Evolutionary computation fuzzy neural tree Fuzzy systems Humans Information processing Knowledge representation multi-objective optimization Pareto front Pareto optimization soft computing
ISBN:	1424429587, 9781424429585
ISSN:	1089-778X
Online-Zugang:	Volltext
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