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文章基本信息

  • 标题:Generalized and Customizable Sets in R
  • 本地全文:下载
  • 作者:David Meyer ; Kurt Hornik
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2009
  • 卷号:31
  • 期号:1
  • 页码:1-27
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要:We present data structures and algorithms for sets and some generalizations thereof (fuzzy sets, multisets, and fuzzy multisets) available for R through the sets package. Fuzzy (multi-)sets are based on dynamically bound fuzzy logic families. Further extensions include user-definable iterators and matching functions.
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