2019
DOI: 10.1016/j.chaos.2019.01.039
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Rényi entropy of fuzzy dynamical systems

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Cited by 10 publications
(2 citation statements)
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“…Further applications of Rényi entropy in quantum information include generalisations of conditional quantum mutual information and topological entanglement entropy [ 15 ]. As well, in dynamical problems, Rényi entropy has been proposed as a resource to describe phase transitions between self-assembled states, both in complex systems [ 16 , 17 ] and fuzzy systems [ 18 ], closely related to the phenomenon of quantum fuzzy trajectories [ 19 ]. Still, the feasibility of this entropy measure has even been accepted in other areas, such as molecular imaging pursuing medical purposes [ 20 ], mathematical physics [ 21 ], and biostatistics [ 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…Further applications of Rényi entropy in quantum information include generalisations of conditional quantum mutual information and topological entanglement entropy [ 15 ]. As well, in dynamical problems, Rényi entropy has been proposed as a resource to describe phase transitions between self-assembled states, both in complex systems [ 16 , 17 ] and fuzzy systems [ 18 ], closely related to the phenomenon of quantum fuzzy trajectories [ 19 ]. Still, the feasibility of this entropy measure has even been accepted in other areas, such as molecular imaging pursuing medical purposes [ 20 ], mathematical physics [ 21 ], and biostatistics [ 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…Uma das técnicas de inteligência computacional utilizadas na tomada de decisão e seleção de conceitos variados é a Lógica Fuzzy (Arji et al, 2019;Dhunny et al, 2019;Droste et al, 2019), essa que é empregada em ferramentas como MatLab® para pesquisas cientificas, unida à Engenharia de Software surgem os frameworks que visam facilitar o uso de algoritmos como o citado para a geração de resultados em motores de processamento tal como é feito nos processos de fuzzificação e defuzzificação (Eslami Giski, Ebrahimzadeh, & Markechová, 2019;Magdalena, 2019;Ojha, Abraham, & Snášel, 2019). Development, v. 9, n. 9, e55995531, 2020 (CC BY 4.0) | ISSN 2525-3409 | DOI: http://dx.doi.org/10.33448/rsd-v9i9.5531 Dessa forma o estudo dos métodos desenvolvidos em bibliotecas como Fuzzylite (Elleuch & Wali, 2019;Moazzemi et al, 2019;Sauerländer-Biebl et al, 2017) são de cunho investigativo visando abstrair a coerência dos métodos matemáticos empregados, esses que são de suma importância para validar contextos em pesquisas científicas como esta.…”
Section: Introductionunclassified