Shapley Values in Classification Problems with Triadic Formal Concept Analysis
Version
Published
Date Issued
2024
Author(s)
Editor(s)
Cabrera, Inma P.
Ferré, Sébastien
Obiedkov, Sergei
Type
Book Chapter
Language
English
Abstract
The JSM-method is a supervised classification method, used in machine learning. The JSM-method has recently been used in Triadic Concept Analysis to classify objects. In this paper, we show how Shapley value of a cooperative game with transferable utilities, can be used to give the importance or individual contribution of each attribute-condition pair of a particular object, for its classification to a particular class.
ISBN
978-3-031-67867-7
Publisher DOI
Series/Report No.
Lecture Notes in Computer Science
ISSN
1611-3349
Volume
14914
Publisher
Springer Nature
Submitter
Kwuida, Léonard
Citation apa
Kemgne, M. W., Njionou, B. B. K., Kwuida, L., & Ignatov, D. I. (2024). Shapley Values in Classification Problems with Triadic Formal Concept Analysis (I. P. Cabrera, S. Ferré, & S. Obiedkov, Eds.; Vol. 14914). Springer Nature. https://arbor.bfh.ch/handle/arbor/37129
