Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)

Use of the GAI model in multi-criteria decision making: inconsistency handling, interpretation

Authors
Christophe Labreuche, Michel Grabisch
Corresponding Author
Christophe Labreuche
Available Online August 2013.
DOI
https://doi.org/10.2991/eusflat.2013.26How to use a DOI?
Keywords
Choquet integral Fuzzy Measures GAI model Interaction Multi-Criteria Decision Making
Abstract

This paper is devoted to the use of the GAI (Generalized Additive) model in a Multi-Criteria Decision Making context. We first discuss on some new conditions (concerning the sign and monotonicity) to add on the terms appearing in a GAI model. Secondly, we propose some algorithms to propose the learning examples to change or remove, together with an explanation of this, when there are inconsistency in the learning data. Finally , we propose some importance and interaction indices to interpret a GAI model.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-78-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/eusflat.2013.26How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Christophe Labreuche
AU  - Michel Grabisch
PY  - 2013/08
DA  - 2013/08
TI  - Use of the GAI model in multi-criteria decision making: inconsistency handling, interpretation
BT  - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SP  - 179
EP  - 186
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.26
DO  - https://doi.org/10.2991/eusflat.2013.26
ID  - Labreuche2013/08
ER  -