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文章基本信息

  • 标题:Some New Generalizations of Fuzzy Average Code Word Length and their Bonds
  • 本地全文:下载
  • 作者:M.A.K. Baig ; Mohd Afzal Bhat ; Mohd Javid Dar
  • 期刊名称:American Journal of Applied Mathematics and Statistics
  • 印刷版ISSN:2328-7306
  • 电子版ISSN:2328-7292
  • 出版年度:2014
  • 卷号:2
  • 期号:2
  • 页码:73-76
  • DOI:10.12691/ajams-2-2-4
  • 语种:English
  • 出版社:Science and Education Publishing
  • 摘要:In this communication, we propose a new generalizations of fuzzy average codeword length La and study its particular cases. The results obtained not only generalize the existing fuzzy average code word length but all the known results are the particular cases of the proposed length. Some new fuzzy coding theorems have also been proved.
  • 关键词:fuzzy set; generalized fuzzy entropy; generalized fuzzy average; godeword length; information Bounds
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