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

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Author(s):
Biscaia Pinto, Nilmara J. ; Esmi, Estevao ; Wasques, Vinicius Francisco ; Barros, Laecio C. ; Kearfott, RB ; Batyrshin, I ; Reformat, M ; Ceberio, M ; Kreinovich, V
Total Authors: 9
Document type: Journal article
Source: FUZZY TECHNIQUES: THEORY AND APPLICATIONS; v. 1000, p. 13-pg., 2019-01-01.
Abstract

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)

FAPESP's process: 16/26040-7 - Differential and integral calculus based on arithmetic of interactive fuzzy numbers
Grantee:Estevão Esmi Laureano
Support Opportunities: Regular Research Grants