• DocumentCode
    1396015
  • Title

    Soft Querying of Standard and Uncertain Databases

  • Author

    Yager, Ronald R.

  • Author_Institution
    Machine Intell. Inst., Iona Coll., New Rochelle, NY, USA
  • Volume
    18
  • Issue
    2
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    336
  • Lastpage
    347
  • Abstract
    We provide a framework for querying of databases. We model a query as a collection of required conditions and an imperative for combining an object´s satisfaction to the individual conditions to get its overall satisfaction. We investigate tools that can enrich this process by enabling the inclusion of more human focused considerations. We discuss how to include flexible conditions with the use of fuzzy sets. We describe some more sophisticated techniques for aggregating the satisfactions of the individual conditions based on the inclusion of importances and the use of the OWA operator. We introduce a new method for aggregating the individual satisfactions that can model a lexicographic relation between the individual requirements. In addition to considering more human focused aspects of the query we look at databases in which the information in the database can have some probabilistic or possibilistic uncertainty.
  • Keywords
    fuzzy set theory; probability; query processing; database querying; fuzzy sets; human focused query formulation; probability; standard soft querying; uncertain databases; Database; flexible query; fuzzy sets; human focused query formulation; uncertain database;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2010.2041459
  • Filename
    5398925