Rule-type Knowledge Discovery from Field Inspection Data of Bridges including Contradictory Data using Rough-sets based Data Mining Technique

In this study, the acquisition of rule-type knowledge from field inspection data on highway bridges isenhanced by introducing an improvement to a traditional data mining technique. The new rough set theory approach helps in cases of exceptional and contradictory data, which in the traditional decisi...

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Veröffentlicht in:	Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2012/12/15, Vol.24(6), pp.1154-1164
Hauptverfasser:	EMOTO, Hisao, YAGI, Hideki, TSUKAMOTO, Shigeaki, MIYAMOTO, Ayaho
Format:	Artikel
Sprache:	eng
Schlagworte:	Bridges Inspection Data Contradictory Data Data Mining Fuzzy Fuzzy logic Fuzzy set theory Highway bridges Inspection Mathematical analysis Rough Sets Tables (data)
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