Modelling data by the Choquet integral

Michel Grabisch (1)

1 SYSDEF - Systèmes d'aide à la décision et à la formation

The chapter makes a survey of works dealing with the Choquet integral as a general non linear regression model. It is shown that its use is however limited to commensurate variables, as it is the case for example for multicriteria evaluation and multiattribute classification. A large part is devoted to the various methods of identifying parameters of the model, essentially quadratic programming and genetic algorithms. A new approach based on genetic algorithms is also described. Lastly, related works on classification and subjective evaluation are mentionned.

Domaines: Informatique [cs]

Michel Grabisch. Modelling data by the Choquet integral. Information fusion in data mining, 123, Springer, pp.135-148, 2003, Studies in Fuzziness and Soft Computing, ⟨10.1007/978-3-540-36519-8_8⟩. ⟨hal-01533647⟩