Busca avançada
Ano de início
Entree


Least Squares Method with Interactive Fuzzy Coefficient: Application on Longitudinal Data

Texto completo
Autor(es):
Pinto, Nilmara J. B. ; Wasques, Vinicius F. ; Esmi, Estevao ; Barros, Laecio C. ; Barreto, GA ; Coelho, R
Número total de Autores: 6
Tipo de documento: Artigo Científico
Fonte: FUZZY INFORMATION PROCESSING, NAFIPS 2018; v. 831, p. 12-pg., 2018-01-01.
Resumo

This work focus on the least square method to fit a fuzzy function to longitudinal data given by fuzzy numbers. In order to consider the intrinsic correlation of longitudinal data, we assume that there exits a linear relation among the involved fuzzy numbers that arises from the concept of a joint possibility distribution. We propose a numerical method to solve a fuzzy least square problem taking into account this linear correlation. To this end, we extend the classical least square method by means of the sup-J extension principle, which consists of a generalization of Zadeh's extension principle. Finally, we use our proposal method to fit a longitudinal dataset. (AU)

Processo FAPESP: 16/26040-7 - Cálculo diferencial e integral baseado aritmética de números fuzzy interativos
Beneficiário:Estevão Esmi Laureano
Modalidade de apoio: Auxílio à Pesquisa - Regular