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The d-Interaction Index in MCDA

Mayag, Brice; Tchantcho, Bertrand (2022), The d-Interaction Index in MCDA, in Davide Ciucci; Inés Couso; Jesús Medina; Dominik Ślęzak; Davide Petturiti; Bernadette Bouchon-Meunier; Ronald R. Yager, Information Processing and Management of Uncertainty in Knowledge-Based Systems: 19th International Conference, IPMU 2022, Springer International Publishing : Berlin Heidelberg, p. 210-220. 10.1007/978-3-031-08974-9_17

Type
Communication / Conférence
Date
2022
Conference date
2022
Conference city
Berlin Heidelberg
Book title
Information Processing and Management of Uncertainty in Knowledge-Based Systems: 19th International Conference, IPMU 2022
Book author
Davide Ciucci; Inés Couso; Jesús Medina; Dominik Ślęzak; Davide Petturiti; Bernadette Bouchon-Meunier; Ronald R. Yager
Publisher
Springer International Publishing
Published in
Berlin Heidelberg
ISBN
978-3-031-08973-2
Pages
210-220
Publication identifier
Metadata
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Author(s)
Mayag, Brice
Tchantcho, Bertrand
Abstract (EN)
In the context of the representation of a preference information, we introduce a new interaction index based on a distance, in order to better model the interactions among criteria. This index, which provides robust interpretations of the interactions, is directly related to the independence property required when an additive model is used as an aggreg
Subjects / Keywords
MCDA; Independence; Interaction; Choquet integral; Kendall distance