Identification of λ-fuzzy Measure by Modified Genetic Algorithms

Fuzzy measure is subjective scale for the degrees of fuzziness and suitable for analyzing human subjective evaluation processes. It is not easy to provide consistent fuzzy measure values with fuzzy measure properties since they have to be subjective determined. Thus it induces an identification prob...

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Veröffentlicht in:	The Sixth International Conference on Fuzzy Systems and Knowledge Discovery : proceedings, Tianjin, China, 14-16 August 2009 Jg. 6; S. 296 - 300
Hauptverfasser:	Chuanjun Zhu, Yurong Chen, Xinhai Lu, Chaoyong Zhang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2009
Schlagworte:	Algorithm design and analysis Anthropometry Automotive engineering Biological cells Encoding fuzzy measure Fuzzy measure identification Fuzzy sets Fuzzy systems Genetic algorithms Genetic mutations Mechanical variables measurement Modified genetic algorithms
ISBN:	9780769537351, 0769537359
Online-Zugang:	Volltext
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