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Shapley Values in Classification Problems with Triadic Formal Concept Analysis

  • Martin Waffo Kemgne,
  • Blaise Bleriot Koguep Njionou,
  • Leonard Kwuida,
  • Dmitry I. Ignatov

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.