Abstract
The inclusion-exclusion integral is a generalization of the discrete Choquet integral, defined with respect to a fuzzy measure and an interaction operator that replaces the minimum function in the Choquet integral’s Möbius representation. While in general this means that the resulting operator can be non-monotone, we have previously proposed using averaging aggregation functions for the interaction component, which under certain requirements can produce non-linear, but still averaging, operators. Here we consider how the orness of the overall function changes depending on the chosen component functions and hence propose a simplified calculation for approximating the orness of an averaging inclusion-exclusion integral.
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CITATION STYLE
Honda, A., James, S., & Rajasegarar, S. (2017). Orness and cardinality indices for averaging inclusion-exclusion integrals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10571 LNAI, pp. 51–62). Springer Verlag. https://doi.org/10.1007/978-3-319-67422-3_6
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