Population growth model via interactive fuzzy differential equation
Francielle Santo Pedro, Laécio Carvalho de Barros, Estevão Esmi
ARTIGO
Inglês
Agradecimentos: The authors would like to thank CAPES, CNPq grantee no. 306546/2017-5, Fapesp grantee no. 2016/26040-7
Abstract: In this manuscript we study a fuzzy initial value problem (FIVP) which describes an autocorrelated evolutive process. For this, we use the -correlated derivative (-derivative) concept on fuzzy-number-valued functions. This approach lets us establish a relationship between the diameter of...
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Abstract: In this manuscript we study a fuzzy initial value problem (FIVP) which describes an autocorrelated evolutive process. For this, we use the -correlated derivative (-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 -correlated fuzzy processes, the use of the interactive derivative is more adequate than the gH-derivative for a fuzzy number-valued function
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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ
306546/2017-5
COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES
FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP
2016/26040-7
Fechado
Population growth model via interactive fuzzy differential equation
Francielle Santo Pedro, Laécio Carvalho de Barros, Estevão Esmi
Population growth model via interactive fuzzy differential equation
Francielle Santo Pedro, Laécio Carvalho de Barros, Estevão Esmi
Fontes
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Information sciences (Fonte avulsa) |