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A Data Model for Fuzzy Linguistic Databases with Flexible Querying

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5866))

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Abstract

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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Le, V.H., Liu, F., Lu, H. (2009). A Data Model for Fuzzy Linguistic Databases with Flexible Querying. In: Nicholson, A., Li, X. (eds) AI 2009: Advances in Artificial Intelligence. AI 2009. Lecture Notes in Computer Science(), vol 5866. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10439-8_50

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  • DOI: https://doi.org/10.1007/978-3-642-10439-8_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10438-1

  • Online ISBN: 978-3-642-10439-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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