Modelling data by the Choquet integral

Michel Grabisch 1
1 SYSDEF - Systèmes d'aide à la décision et à la formation
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : 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.
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Submitted on : Tuesday, June 6, 2017 - 4:31:13 PM
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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〉

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