Quantum fuzzy genetic algorithm with Turing to solve DE
A. Samir Hamid, Elias Igor Klebanov, Salah Abdulhadi Albermany · Periodicals of Engineering and Natural Sciences (PEN) · 2023
In this study, we create the quantum fuzzy Turing machine (QFTM) approach for solving fuzzy differential equations under Seikkala differentiability by combining it with a differential equation and a genetic algorithm. A theoretical model of computation called a quantum fuzzy Turing machine (QFTM) incorporates aspects of fuzzy logic and quantum physics.