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  • 标题:MANUFACTURING RESOURCES CLASSIFICATION BASED ON FUZZY CLUSTERING ALGORITHM
  • 本地全文:下载
  • 作者:XUESONG GUAN ; GUANGWEI MENG ; CHANGLONG ZHAO
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2012
  • 卷号:46
  • 期号:2
  • 页码:0632-0637
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Today, for many companies, there are large numbers of manufacturing equipments. To better utilize manufacturing resources, it is necessary to classify the equipments into a few groups. In this paper, the hybrid algorithm of fuzzy clustering algorithm (FCM) and genetic algorithm (GA) is implemented to group manufacturing resources. An application sample is developed and its results are analyzed. The grouping result shows that the hybrid algorithm is reliable and effective.
  • 关键词:Fuzzy C-Means Clustering; Genetic Algorithm; Manufacturing Resources Classification
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