Results 41 to 50 of about 54,112 (168)
Fuzzy Bi-level Decision-Making Techniques: A Survey
International Journal of Computational Intelligence Systems, 2016 Bi-level decision-making techniques aim to deal with decentralized management problems that feature interactive decision entities distributed throughout a bi-level hierarchy.
Guangquan Zhang, Jialin Han, Jie Lu
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Machine Learning for Modeling the Singular Multi-Pantograph Equations
Entropy, 2020 In this study, a new approach to basis of intelligent systems and machine learning algorithms is introduced for solving singular multi-pantograph differential equations (SMDEs).
Amirhosein Mosavi +5 more
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Consensus of T-S Fuzzy Fractional-Order, Singular Perturbation, Multi-Agent Systems
Fractal and FractionalDue to system complexity, research on fuzzy fractional-order, singular perturbation, multi-agent systems (FOSPMASs) remains limited in control theory. This article focuses on the leader-following consensus of fuzzy FOSPMASs with orders in the range of 0,
Xiyi Wang +4 more
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Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2017 Technique of creating a sub-line diagnostics status turbine unit thermal power plant based on an analysis of its diagnostic features. Rapid assessment of the technical state of turbine unit allows an early stage to detect the possibility of an emergency ...
Alibek Suleimenov +3 more
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Adaptive Fuzzy Tracking Switching Control for Unknown Nonstrict-Feedback Nonlinear Systems
IEEE AccessThis paper investigates an adaptive switching control strategy for output tracking in unknown n-dimensional nonstrict-feedback nonlinear systems (NFSs).
Yaguang Li +5 more
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Axioms, 2019 Galactic swarm optimization (GSO) is a recently created metaheuristic which is inspired by the motion of galaxies and stars in the universe. This algorithm gives us the possibility of finding the global optimum with greater precision since it uses ...
Emer Bernal +3 more
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, 2017 The following chapter describes the basic concepts of fuzzy systems and approximate reasoning. The study focuses mainly on fuzzy models based on Zadeh’s compositional rule of inference. The presentation begins with an introduction of fundamental ideas of fuzzy conditional (if-then) rules.
Robert Czabanski +2 more
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A Fuzzy Modal Logic for Fuzzy Transition Systems
Electronic Notes in Theoretical Computer Science, 2020 Abstract This paper intends to contribute with a new fuzzy modal logic to model and reason about transition systems involving uncertainty in behaviours. Our formalism supports fuzziness at transitions and on the proposition symbols assignment levels. Against of other approaches in the literature, our bisimulation and bisimilarity notions generalise ...
Manisha Jain +2 more
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MathematicsIn this work, the susceptible-infectious-removed (SIR) dynamics are considered in relation to the effects on the health system. With the help of the Caputo derivative fractional-order method, the SIR epidemic model for childhood diseases is designed ...
Suganya Subramanian +5 more
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IEEE Access, 2019 Fuzzy system, as the main method of approximate reasoning, has been widely used to solve practical problems. The existing results on fuzzy systems were based on fuzzy sets, fuzzy if-then rule, and fuzzy inference.
Jiansheng Li, Zengtai Gong
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