A Data Model for Fuzzy Linguistic Databases with Flexible Querying

نویسندگان

  • Van Hung Le
  • Fei Liu
  • Hongen Lu
چکیده

Information to be stored in databases is often fuzzy. Two important issues in research in this field are the representation of fuzzy information in a database and the provision of flexibility in database querying, especially via including linguistic terms in human-oriented queries and returning results with matching degrees. Fuzzy linguistic logic programming (FLLP), where truth values are linguistic, and hedges can be used as unary connectives in formulae, is introduced to facilitate the representation and reasoning with linguistically-expressed human knowledge. This paper presents a data model based on FLLP called fuzzy linguistic Datalog for fuzzy linguistic databases with flexible querying.

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تاریخ انتشار 2009