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Power management of hybrid fuel cell fixed wing UAVs using a fuzzy reinforcement learning system optimized with meta-heuristic methods. [PDF]
Sci RepRostami M, Farajollahi A, Habibi P.
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Hybrid meta heuristic and fuzzy impedance method for fast fault location in power system lines. [PDF]
Sci RepNajafzadeh M +4 more
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A fuzzy-TD3 hybrid reinforcement learning framework for robust trajectory tracking of the Mitsubishi RV-2AJ robotic arm. [PDF]
Sci RepHazem ZB.
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Research on a fuzzy programming model and algorithm for berth allocation considering time-varying water depth. [PDF]
Sci RepLiu D, Li B, Li M, Lei Y, Yu P, Tan C.
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A Method for Industrial Smoke Video Semantic Segmentation Using DeffNet with Inter-Frame Adaptive Variable Step Size Based on Fuzzy Control. [PDF]
Sensors (Basel)Yang J, Liu H.
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Kybernetes, 1977
By fuzzy optimization we here mean optimization in a fuzzy environment, i.e., optimization with fuzzy constraints. Such a problem can be reduced to a family of ordinary optimization problems by using the representation theorem which states that a fuzzy set is a family of ordinary sets.
Negoita, C. V., Ralescu, D. A.
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By fuzzy optimization we here mean optimization in a fuzzy environment, i.e., optimization with fuzzy constraints. Such a problem can be reduced to a family of ordinary optimization problems by using the representation theorem which states that a fuzzy set is a family of ordinary sets.
Negoita, C. V., Ralescu, D. A.
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IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1996
Fuzzy models are regarded as linguistic modeling structures with well-defined functional blocks of input and output interfaces along with a processing module. The paper examines the functions of these modules and specifies the relevant optimization tasks emerging in fuzzy system identification.
W, Pedrycz, J V, de Oliveira
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Fuzzy models are regarded as linguistic modeling structures with well-defined functional blocks of input and output interfaces along with a processing module. The paper examines the functions of these modules and specifies the relevant optimization tasks emerging in fuzzy system identification.
W, Pedrycz, J V, de Oliveira
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Optimal solution of fuzzy optimization using pentagonal fuzzy numbers
AIP Conference Proceedings, 2018The fundamental goal of portfolio optimization is to optimally allocate funds between different investment alternatives. The mean-variance (MV) methodology has become the most important quantitative tool used which considers the trade-off between risk and return.
Suhailywati Ramli, Saiful Hafizah Jaaman
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