• DocumentCode
    3042164
  • Title

    Fuzzy SQL Queries with Weights Based on Fuzzy Logic Conjunctions

  • Author

    Zhang, Ying-Chao ; Hui, Wang ; Ye, Xiao-Ling

  • Author_Institution
    Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    470
  • Lastpage
    473
  • Abstract
    The previous work studied such queries as simple query, compound query, multi-relational query, sub-query and etc, which solved fuzzy questions to some extent. But the logic conjunction was always AND or OR, Based on Zadehpsilas fuzzy theory, fuzzy logic conjunctions and weights are introduced here to extend fuzzy queries. This kind of fuzzy query will be solved here through combinations of fuzzy theory and SQL functions, which will improve fuzzy query system, thus enabling more effective queys.
  • Keywords
    fuzzy logic; fuzzy set theory; query processing; compound query; fuzzy SQL queries; fuzzy logic conjunctions; fuzzy theory; multi-relational query; Chaos; Databases; Fuzzy logic; Fuzzy sets; Fuzzy systems; ISO; Information retrieval; Information science; Intelligent systems; Natural languages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.337
  • Filename
    5209042