Name
Abstract | ||
|---|---|---|
Ordered weighted averaging (OWA) operators are described and are shown to provide a general class of parameterized aggregation operators that include the max, min, and average. We suggest an approach to the inclusion of importances in the OWA operator aggregation technique. The methodology suggested involves a transformation of the scores to be aggregated by their respective importances. We show how we can construct transformation functions with the aid of the fuzzy modeling technology |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/91.669028 | IEEE T. Fuzzy Systems |
Keywords | Field | DocType |
ordered weighted averaging,fuzzy system,respective importance,fuzzy modeling technology,transformation function,parameterized aggregation operator,general class,owa operator aggregation technique,decision theory,information retrieval,pattern recognition,indexing terms,machine intelligence,fuzzy systems,prototypes,aggregation,helium | Parameterized complexity,Fuzzy logic,Ordered weighted averaging aggregation operator,Decision theory,Artificial intelligence,Operator (computer programming),Fuzzy control system,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
6 | 2 | 1063-6706 |
Citations | PageRank | References |
49 | 3.43 | 7 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ronald R. Yager | 1 | 986 | 206.03 |