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
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