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.
History
Volume
10571
Pagination
51-62
Location
Kitakyushu, Japan
Start date
2017-10-18
End date
2017-10-20
ISSN
0302-9743
eISSN
1611-3349
ISBN-13
9783319674216
Publication classification
E Conference publication, E1 Full written paper - refereed
Copyright notice
2017, Springer International Publishing AG
Editor/Contributor(s)
Torra V, Narukawa Y, Honda A, Inoue S
Title of proceedings
MDAI 2017 : Proceedings of the 14th International Modeling Decisions for Artificial Intelligence Conference