Kemgne, Martin WaffoMartin WaffoKemgneNjionou, Blaise Bleriot KoguepBlaise Bleriot KoguepNjionouKwuida, LéonardLéonardKwuidaIgnatov, Dmitry I.Dmitry I.IgnatovCabrera, Inma P.Ferré, SébastienObiedkov, Sergei2024-11-192024-11-192024978-3-031-67867-71611-334910.1007/978-3-031-67868-4_6https://arbor.bfh.ch/handle/arbor/37129The 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.enShapley Values in Classification Problems with Triadic Formal Concept Analysis-book_section