MODELOS DE REGRESSÃO LINEAR NEBULOSA / FUZZY LINEAR REGRESSIVE MODELS
AUTOR(ES)
ANTONIO JOSE CORREIA SAMPAIO
DATA DE PUBLICAÇÃO
1998
RESUMO
In this dissertation a Fuzzy Piece-Wise Linear Regressive model FPLieR is developed. The model´s structure combines linear regressive models with fuzzy logic´s grade of membership in a piece-wise fashion. A comparision is made between this model and the linear regression one. The results show that FPLieR is able to find the linear substructure of simulated data and that in most cases it presents a good fit.
ASSUNTO(S)
modelos nao-parametricos otimizacao quadratica regressao nebulosa fuzzy regression not-parametric models quadratic optimization