DocumentCode
2274070
Title
Learning OWA operator weights from data
Author
Filev, Dimitar ; Yager, Ronald R.
Author_Institution
Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA
fYear
1994
fDate
26-29 Jun 1994
Firstpage
468
Abstract
We investigate the issue of obtaining the weights associated with the ordered weighted operator (OWA) aggregation in the situation when we have observed data on the arguments and the aggregated value. This provides a procedure to learn the decision maker´s level of confidence from previous decisions. We next introduce a family of OWA operators called exponential OWA operators
Keywords
decision theory; fuzzy set theory; learning (artificial intelligence); optimisation; aggregated value; confidence level; constrained optimisation; decision making; learning; operator weights; ordered weighted operator; Arithmetic; Constraint optimization; Decision making; Educational institutions; Entropy; Expert systems; Fuzzy systems; Machine intelligence; Neural networks; Open wireless architecture;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1896-X
Type
conf
DOI
10.1109/FUZZY.1994.343740
Filename
343740
Link To Document