Shapley Values in Classification Problems with Triadic Formal Concept Analysis

被引：0
|
作者：
Kemgne, Martin Waffo [1 ]
Njionou, Blaise Bleriot Koguep [2 ]
Kwuida, Leonard [3 ]
Ignatov, Dmitry I. [4 ]
机构：
[1] La Rochelle Univ, La Rochelle, France
[2] Univ Dschang, Dschang, Cameroon
[3] Bern Univ Appl Sci, Bern, Switzerland
[4] HSE Univ, Moscow, Russia
来源：
CONCEPTUAL KNOWLEDGE STRUCTURES, CONCEPTS 2024 | 2024年 / 14914卷
关键词：
Triadic Formal Concept Analysis; Shapley value; !text type='JS']JS[!/text]M-method; Classification; GAMES;
D O I：
10.1007/978-3-031-67868-4_6
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：83 / 96
页数：14
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