Title :
Importance weighted OWA aggregation of multicriteria queries
Author :
Larsen, Henrik Legind
Author_Institution :
Dept. of Comput. Sci., Roskilde Univ., Denmark
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;
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
DOI :
10.1109/NAFIPS.1999.781792