Portal de Periódicos da CAPES

Artigo Produção Nacional Revisado por pares

BIBTEX RIS

A robust method for linear regression of symbolic interval data

2010; Elsevier BV; Volume: 31; Issue: 13 Linguagem: Inglês

10.1016/j.patrec.2010.06.008

1872-7344

Marco A. O. Domingues, Renata M.C.R. de Souza, Francisco José A. Cysneiros,

Fuzzy Systems and Optimization

This paper introduces a new linear regression method for interval valued-data. The method is based on the symmetrical linear regression methodology such that the prediction of the lower and upper bounds of the interval value of the dependent variable is not damaged by the presence of interval-valued data outliers. The method considers mid-points and ranges of the interval values assumed by the variables in the learning set. The prediction of the boundaries of an interval is accomplished through a combination of predictions from mid-point and range of the interval values. The evaluation of the method is based on the average behavior of a pooled root mean-square error. Experiments with real and simulated symbolic interval data sets demonstrate the usefulness of this symbolic symmetrical linear regression method.