Including importances in OWA aggregations using fuzzy systems modeling

Abstract

The 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.

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