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Ntaganda, J.M., Daoussa Haggar, M.S. and Mampassi, B. (2014) Fuzzy Logic for Solving an Optimal Control Problem of Hypoxemic Hypoxia Tissue Blood Carbon Dioxide Exchange during Physical Activity. Open Journal of Applied Sciences, 4, 501-514.
http://www.scirp.org/journal/ojapps

has been cited by the following article:

• TITLE: Fuzzy Logic Approach for Solving an Optimal Control Problem of an Uninfected Hepatitis B Virus Dynamics

  AUTHORS: Jean Marie Ntaganda, Marcel Gahamanyi

  KEYWORDS: Fuzzy Logic, Optimal Control, Membership Function, Membership Degree, Hepatitis B Virus, Numerical Simulation

  JOURNAL NAME: Applied Mathematics, Vol.6 No.9, August 10, 2015

  ABSTRACT: We aimed in this paper to use fuzzy logic approach to solve a hepatitis B virus optimal control problem. The approach efficiency is tested through a numerical comparison with the direct method by taking the values of determinant parameters of this disease for people administrating the drugs. Final results of both numerical methods are in good agreement with experimental data.