Linear Fuzzy Regression Using Trapezoidal Fuzzy Intervals - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2008

Linear Fuzzy Regression Using Trapezoidal Fuzzy Intervals

Résumé

In this paper, a revisited approach for possibilistic fuzzy regression methods is proposed. Indeed, a new modified fuzzy linear model form is introduced where the identified model output can envelope all the observed data and ensure a total inclusion property. Moreover, this model output can have any kind of spread tendency. In this framework, the identification problem is reformulated according to a new criterion that assesses the model fuzziness independently of the collected data. The proposed concepts are used in a global identification process in charge of building a piecewise model able to represent every kind of output evolution.

Domaines

Autre
Fichier non déposé

Dates et versions

hal-00447625 , version 1 (15-01-2010)

Identifiants

  • HAL Id : hal-00447625 , version 1

Citer

Amory Bisserier, Reda Boukezzoula, Sylvie Galichet. Linear Fuzzy Regression Using Trapezoidal Fuzzy Intervals. 12th Int. Conf. on Information Processing and Management of Uncertainty in Knowledge Based Systems (IPMU 2008), Jul 2008, Malaga, Spain. pp. 181-188. ⟨hal-00447625⟩
29 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More