Ordered Weighted Aggregation operators (OWA) are widely analyzed and applied to real world problems, given their appealing char- acteristic to re ect human reasoning, but are enable in the basic de - nition to include importance weights for the criteria. To obviate, some extensions were introduced, but we show how none of them can satisfy completely a set of required properties. Thus we introduce a new pro- posal, the Standard Deviation OWA (SDOWA) which conversely satisfy all the listed properties and seems to be more convincing then other ones.
SDOWA: A New OWA Operator for Decision Making
Cardin M.;Giove S.
2021-01-01
Abstract
Ordered Weighted Aggregation operators (OWA) are widely analyzed and applied to real world problems, given their appealing char- acteristic to re ect human reasoning, but are enable in the basic de - nition to include importance weights for the criteria. To obviate, some extensions were introduced, but we show how none of them can satisfy completely a set of required properties. Thus we introduce a new pro- posal, the Standard Deviation OWA (SDOWA) which conversely satisfy all the listed properties and seems to be more convincing then other ones.
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