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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Population growth model via interactive fuzzy differential equation

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Author(s):
Pedro, Francielle Santo [1] ; de Barros, Laecio Carvalho [1] ; Esmi, Estevao [1]
Total Authors: 3
Affiliation:
[1] Univ Estadual Campinas, IMECC, Dept Appl Math, Campinas - Brazil
Total Affiliations: 1
Document type: Journal article
Source: INFORMATION SCIENCES; v. 481, p. 160-173, MAY 2019.
Web of Science Citations: 2
Abstract

In this manuscript we study a fuzzy initial value problem (FIVP) which describes an autocorrelated evolutive process. For this, we use the F-correlated derivative (F-derivative) concept on fuzzy-number-valued functions. This approach lets us establish a relationship between the diameter of the FIVP solution and its derivative. Moreover, we notice how the derivative influences the interactivity of the process by computing the measure of possibilistic interactivity of the FIVP solution. We analyze a population growth model, namely. the Logistic model, with our approach and compare the results with another approach that uses the generalized derivative of Hukuhara (gH-derivative). Finally, we conclude that in fuzzy differential equations describing locally F-correlated fuzzy processes, the use of the interactive derivative is more adequate than the gH-derivative for a fuzzy number-valued function. (C) 2018 Elsevier Inc. All rights reserved. (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