Rosana Motta Jafelice

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 5

Top Topics

Interval Analysis

Fuzzy Set Theory

Cellular Automaton

Top Venues

Comput. Appl. Math.

Math. Comput. Simul.

Publications

Ana Maria Bertone, Rosana Motta Jafelice, Flávio Alexandre Falcão Nascimento
Modeling approach for the parameters of von Bertalanffy growth equation. Comput. Appl. Math. 43 (1) (2024)
Rosana Motta Jafelice, Weldon A. Lodwick
Interval analysis of the HIV dynamics model solution using type-2 fuzzy sets. Math. Comput. Simul. 180 (2021)
Beatriz Laiate, Rosana Motta Jafelice, Estevão Esmi, Laécio C. Barros
An Interpretation of the Fuzzy Measure Associated with Choquet Calculus for a HIV Transference Model. IFSA/NAFIPS (2019)
Rosana Motta Jafelice, B. L. Pereira, Ana Maria Bertone, Laécio C. Barros
An epidemiological model for HIV infection in a population using type-2 fuzzy sets and cellular automaton. Comput. Appl. Math. 38 (3) (2019)
Rosana Motta Jafelice, Carlos A. F. Silva, Laécio C. Barros, Rodney Carlos Bassanezi
A Fuzzy Delay Approach for HIV Dynamics Using a Cellular Automaton. J. Appl. Math. 2015 (2015)
Ana Maria Bertone, Rosana Motta Jafelice, Laécio Carvalho de Barros, Rodney Carlos Bassanezi
On fuzzy solutions for partial differential equations. Fuzzy Sets Syst. 219 (2013)
Rosana Motta Jafelice, Laécio C. Barros, Rodney Carlos Bassanezi
A Fuzzy Delay Differential Equation Model for HIV Dynamics. IFSA/EUSFLAT Conf. (2009)
Rosana Motta Jafelice, Cesar Guilherme Almeida, João Frederico C. A. Meyer, Heraldo L. Vasconcelos
Dispersal of Leaf-Cutting Ants: fuzzy mathematical modeling, numerical approximation and simulations. IFSA/EUSFLAT Conf. (2009)
Rosana Motta Jafelice, B. F. Z. Bechara, Laécio C. Barros, Rodney Carlos Bassanezi, Fernando A. C. Gomide
Cellular automata with fuzzy parameters in microscopic study of positive HIV individuals. Math. Comput. Model. 50 (1-2) (2009)
Rosana Motta Jafelice, Laécio Carvalho de Barros, Rodney Carlos Bassanezi, Fernando A. C. Gomide
Methodology To Determine The Evolution Of Asymptomatic Hiv Population Using Fuzzy Set Theory. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 13 (1) (2005)