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Orness and cardinality indices for averaging inclusion-exclusion integrals

conference contribution
posted on 2017-01-01, 00:00 authored by A Honda, Simon JamesSimon James, Sutharshan RajasegararSutharshan Rajasegarar
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

Event

Modeling Decisions for Artificial Intelligence. Conference (14th : 2017 : Kitakyushu, Japan)

Volume

10571

Series

Lecture notes in computer science

Pagination

51 - 62

Publisher

Springer

Location

Kitakyushu, Japan

Place of publication

Cham, Switzerland

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)

V Torra, Y Narukawa, A Honda, S Inoue

Title of proceedings

MDAI 2017 : Proceedings of the 14th International Modeling Decisions for Artificial Intelligence Conference