• DocumentCode
    402904
  • Title

    Research on an information retrieval scheme based on rough set

  • Author

    Li, Long-Shu ; Bin, Tang ; Yang, Zeng-guang ; Ni, Zhi-wei

  • Author_Institution
    Intelligence Comput. & Signal Process. Lab., Anhui Univ., Hefei, China
  • Volume
    1
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    385
  • Abstract
    In this paper, a new type information retrieval scheme is designed using rough set theory and fuzzy set knowledge. A new information retrieval method is advanced. The architecture of the system and its key algorithms are given and their time complexities are analyzed. Main characteristic of the research achievement is that the orders of the retrieval algorithm, which is O(log2 M), only relates to the number of index words but does not increase with the augment of the number of documents. Analysis of the method shows our scheme is efficient.
  • Keywords
    fuzzy set theory; information analysis; information retrieval; rough set theory; fuzzy set knowledge; index words; information retrieval scheme; rough set theory; Computer science; Design engineering; Fuzzy sets; Information retrieval; Laboratories; Rough sets; Set theory; Signal processing; Signal processing algorithms; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1264507
  • Filename
    1264507