The induced generalized OWA operator
Information Sciences: an International Journal
Semi-supervised OWA aggregation for link-based similarity evaluation and alias detection
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
New decision-making techniques and their application in the selection of financial products
Information Sciences: an International Journal
Norms induced from OWA operators
IEEE Transactions on Fuzzy Systems
OWA operators in regression problems
IEEE Transactions on Fuzzy Systems
On the methods of OWA operator determination with different dimensional instantiations
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Disclosing false identity through hybrid link analysis
Artificial Intelligence and Law
Nearest-neighbor guided evaluation of data reliability and its applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Parametric aggregation in ordered weighted averaging
International Journal of Approximate Reasoning
Computers and Industrial Engineering
Models to determine parameterized ordered weighted averaging operators using optimization criteria
Information Sciences: an International Journal
On characterizing features of OWA aggregation operators
Fuzzy Optimization and Decision Making
| Hi-index | 0.00 |
The ordered weighted averaging operator attempts to provide a user-friendly class of mean type aggregation operators by allowing a user to easily and naturally go from a mental model of a desired type of aggregation to its formal realization. Our objective in this paper is to support this agenda by providing a new methodology to help a user describe the type of aggregation they desire using the idea of a stress function. With this stress function, a user can "stress" which argument values they want to give more weight in the aggregation. An important feature of this stress function is that it is only required to be nonnegative function on the unit interval. This allows a user to completely focus on the issue of where to put the stress in the aggregation without having to consider satisfaction of any other requirements.