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Analysis of the fuzzy set literature using phrases

Author

Listed:
  • William W. Hood

    (The University of New South Wales
    The University of New South Wales)

  • Concepción S. Wilson

    (The University of New South Wales)

Abstract

The topic of fuzzy set theory was examined using the occurrence of phrases in bibliographic records. Records containing the word fuzzy, were downloaded from over 100 databases, and from these records, phrases were extracted surrounding the word fuzzy. A methodology was developed to trim this list of phrases to a list of high frequency phrases relevant to fuzzy set theory. This list of phrases was in turn used to extract records from the original downloaded set, which were (algorithmically) relevant to fuzzy set theory. This set of records was then analysed to show the development of the topic of fuzzy set theory, the distribution of the fuzzy phrases over time and the frequency distribution of the fuzzy phrases. In addition, the field of the bibliographic record in which the phrase occurred was examined, as well as the first appearance of a particular fuzzy phrase.

Suggested Citation

  • William W. Hood & Concepción S. Wilson, 2002. "Analysis of the fuzzy set literature using phrases," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(1), pages 103-118, April.
  • Handle: RePEc:spr:scient:v:54:y:2002:i:1:d:10.1023_a:1015688605943
    DOI: 10.1023/A:1015688605943
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    References listed on IDEAS

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    1. W. W. Hood & Concepción S. Wilson, 1999. "The distribution of bibliographic records in databases using different counting methods for duplicate records," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 473-486, November.
    2. F. W. Lancaster & Ja‐Lih Lee, 1985. "Bibliometric techniques applied to issues management: A case study," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 36(6), pages 389-397, November.
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    Cited by:

    1. William W. Hood & Concepción S. Wilson, 2003. "Informetric studies using databases: Opportunities and challenges," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 587-608, November.

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