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Found 3 papers, 1 papers with code
Generalized Interval-valued OWA Operators with Interval Weights Derived from Interval-valued Overlap Functions
In this work we extend to the interval-valued setting the notion of an overlap functions and we discuss a method which makes use of interval-valued overlap functions for constructing OWA operators with interval-valued weights.
Neuro-inspired edge feature fusion using Choquet integrals
In this work we elaborate on the fusion of early vision primitives using generalizations of the Choquet integral, and novel aggregation operators that have been extensively studied in recent years.
Towards interval uncertainty propagation control in bivariate aggregation processes and the introduction of width-limited interval-valued overlap functions
Overlap functions are a class of aggregation functions that measure the overlapping degree between two values.
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