Least Square Method with Quasi Linearly Interactive Fuzzy Data: Fitting an HIV Dataset

Autor(es)

Biscaia Pinto, Nilmara J. ; Esmi, Estevao ; Wasques, Vinicius Francisco ; Barros, Laecio C. ; Kearfott, RB ; Batyrshin, I ; Reformat, M ; Ceberio, M ; Kreinovich, V

• Tipo de documento: Artigo Científico
• Fonte: FUZZY TECHNIQUES: THEORY AND APPLICATIONS; v. 1000, p. 13-pg., 2019-01-01.

Resumo

In this manuscript we propose a method to fit a dataset with uncertainty. These data are described by interactive fuzzy numbers. The relationship of interactivity is associated with the notion of joint possibility distribution. We focus on a specific type of interactivity namely linear interactivity. We use this concept to introduce a class of fuzzy numbers called quasi linearly interactive fuzzy numbers. We provide an application to fit a dataset of the HIV disease to illustrate the proposed method. (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