Title :
Learning OWA operator weights from data
Author :
Filev, Dimitar ; Yager, Ronald R.
Author_Institution :
Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA
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;
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
DOI :
10.1109/FUZZY.1994.343740
