• DocumentCode
    3027341
  • Title

    Importance weighted OWA aggregation of multicriteria queries

  • Author

    Larsen, Henrik Legind

  • Author_Institution
    Dept. of Comput. Sci., Roskilde Univ., Denmark
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    740
  • Lastpage
    744
  • Abstract
    The family of ordered weighted averaging (OWA) operators, as introduced by R.R. Yager (1988), appears to be very useful in flexible query answering, including information retrieval, where the information needs are often modeled by an aggregation (of the criteria in the query) between ∧ (pure AND) and V (pure OR). In this paper, we discuss and set up a general set of requirements for importance-weighted aggregation, and show that an importance weighting scheme suggested by Yager (1977) for OWA operators satisfies the requirements. The weighted arithmetic mean is shown to be order-equivalent to the special case of importance-weighted OWA operators where the importance-weighted satisfaction of the criteria are weighted evenly in the OWA aggregation
  • Keywords
    Boolean functions; database theory; fuzzy logic; importance sampling; information needs; mathematical operators; query processing; flexible query answering; importance weighting scheme; importance-weighted aggregation; importance-weighted satisfaction; information needs; information retrieval; multicriteria queries; ordered weighted averaging operators; weighted arithmetic mean; Arithmetic; Boolean functions; Computer science; Dispersion; Fuzzy logic; Information retrieval; Internet; Measurement units; Open wireless architecture; Search engines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-7803-5211-4
  • Type

    conf

  • DOI
    10.1109/NAFIPS.1999.781792
  • Filename
    781792