A multi-source data-driven approach for navigation safety integrating computational intelligence and Bayesian networks by Xiaotong Qu, Chengbo Wang, Chengbo Wang

“…Secondly, a fuzzy logic-based numerical and expert data transformation method is proposed to derive the prior probabilities of risk factors in BNs. The weighted fuzzy rule base is used to capture the dependencies among the risk factors. …”
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A Fuzzy Delay Approach for HIV Dynamics Using a Cellular Automaton by R. Motta Jafelice, C. A. F. Silva, L. C. Barros, R. C. Bassanezi

“…The effects of antiretroviral therapy in the cellular automaton are modeled using a fuzzy rule-based system with two inputs: the medication potency and the treatment adhesion for three hypothetical individuals. …”
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Chaotic Motions in the Real Fuzzy Electronic Circuits by Shih-Yu Li, Cheng-Hsiung Yang, Chin-Teng Lin, Li-Wei Ko, Tien-Ting Chiu

“…Takagi-Sugeno (T-S) fuzzy model is a powerful tool, which is described by fuzzy IF-THEN rules to express the local dynamics of each fuzzy rule by a linear system model. Accordingly, in this paper, we produce the chaotic signals via electronic circuits through T-S fuzzy model and the numerical simulation results provided by MATLAB are also proposed for comparison. …”
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Design and Implementation of a Fuzzy Controller for a TRIGA Mark III Reactor by Tonatiuh Rivero-Gutiérrez, Jorge S. Benítez-Read, Armando Segovia-De-los-Ríos, Luis C. Longoria-Gándara, Javier C. Palacios-Hernández

“…The design and testing of a fuzzy rule based controller to regulate the power of a TRIGA Mark III research nuclear reactor are presented. …”
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Improved Adaptive PI-like Fuzzy Control Strategy of Permanent Magnet Synchronous Motor by Wenshao Bu, Shihao Guo, Zongang Fan, Jinwei Li

“…Lastly, an adaptive fuzzy rule table is designed based on the dynamic response waveform of the PMSM system, and the control characterization is analyzed. …”
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Fuzzy multi-model based dynamic sliding mode control for chemical process with long-time delay by Marco Herrera, Oscar Camacho, Alvaro Prado

“…The Takagi-Sugeno (T-S) fuzzy modeling approach, where each fuzzy rule represents a local linear system, is integrated with Dynamic Sliding Mode Control (DSMC) to enhance robustness and control performance under these varying conditions. …”
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Adaptive fuzzy filter algorithm for LEO communication channel estimation by ZHUO Yong-ning, ZHU Li-dong, WU Shi-qi

“…A novel adaptive LMS filter algorithm based on fuzzy rules was proposed.Through building many fuzzy sets over the space of channel gained value and the increment value of channel gain,in addition to the setting of fuzzy rules,an adaptive algorithm incorporated with human experience was set up,which was adaptive to the time_varing character-istics of LEO satellite channel.The results of the simulation validate the algorithm.…”
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Project Quality Assessment Based on Fuzzy Nodeling by E. N. Zhivitskaya, T. A. Safronova

“…The first rule bloke – projector rating- consists of 36 fuzzy rules that help taking into account quality of projector’s work. …”
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Fuzzy Logic Transformer Design Algorithm (FLTDA) by R. R. Mudholkar, S. R. Sawant, G. G. Tengshe, A. B. Bagwan

“…The Fuzzy Logic Transformer Design Algorithm (FLTDA) incorporates the experience of human transformer designers and builders in terms of minimum of fuzzy rules. It easily accomodates the linguistic design concepts and linguistic values of transformer specifications. …”
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Fuzzy intrusion detection system for MANET packet dropping attack by Tingting LU, Xu HAN

“…Based on Sugeno-type fuzzy inference system, FIADS detected the attack actions of each node by a distributed manner, and then moved these malicious nodes out of MANET to improve the frequency spectrum resource of MANET. Finally, fuzzy rules base was made to analyze FIADS, and comparison between FIADS and the traditional IDES was made. …”
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Fuzzy Wavelet Neural Network with the Improved Levenberg–Marquardt Algorithm for the AC Servo System by Run-Min Hou, Di-Fen Shi, Qiang Gao, Yuan-Long Hou

“…Second, the potentiality of fuzzy rules (PFR) method is developed to optimize the structure of the FWNN by error reduction ratio (ERR). …”
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Contextual Analysis of Financial Time Series by Nadezhda Yarushkina, Aleksey Filippov, Anton Romanov

“…Integrating an ontology and a set of fuzzy rules makes it possible to develop control systems based on fuzzy inference. …”
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Fuzzy filtering of sensors signals in railway transport systems by Mhalla Anis, Simon Dutilleul

“…The strengths of these two techniques are leveraged to prevent control freezing and the fuzzy systems' ability to handle inaccurate information by employing fuzzy rules. Lastly, an example is shown to prove the efficiency and accuracy of the newly developed approach. …”
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Application of the ANFIS Approach in the Research of the Impact of Lubricant Viscosity on Rear Axle Transmission Efficiency by Mo Yimin, Xu Fang

“…By using the subtractive clustering method,a set of fuzzy rules with language property is generated adaptively. …”
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Finite-Time Admissibility and Controller Design for T-S Fuzzy Stochastic Singular Systems with Distinct Differential Term Matrices by Liang Qiao, Zhaomin Lv

“…When differential term matrices are allowed to be distinct in fuzzy rules, such fuzzy models can describe a wide class of nonlinear stochastic systems. …”
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TD algorithm based on double-layer fuzzy partitioning by Xiang MU, Quan LIU, Qi-ming FU, Hong-kun SUN, Xin ZHOU

“…When dealing with the continuous space problems,the traditional Q-iteration algorithms based on lookup-table or function approximation converge slowly and are diff lt to get a continuous policy.To overcome the above weak-nesses,an on-policy TD algorithm named DFP-OPTD was proposed based on double-layer fuzzy partitioning and its convergence was proved.The first layer of fuzzy partitioning was applied for state space,the second layer of fuzzy parti-tioning was applied for action space,and Q-value functions were computed by the combination of the two layer fuzzy partitioning.Based on the Q-value function,the consequent parameters of fuzzy rules were updated by gradient descent method.Applying DFP-OPTD on two classical reinforcement learning problems,experimental results show that the algo-rithm not only can be used to get a continuous action policy,but also has a better convergence performance.…”
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Approaching fuzzy sliding mode strategy for automotive suspension based on the view of enhancing ride comfort and vehicle stability by Tuan Anh Nguyen

“…These mentioned criteria are guaranteed based on the design of membership functions and fuzzy rules, while the stability of the sliding mode framework is evaluated through the Lyapunov function. …”
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Optimal Fuzzy Proportional-Integral-Derivative Control for a Class of Fourth-Order Nonlinear Systems using Imperialist Competitive Algorithms by S. Hadipour Lakmesari, Z. Safipour, M. J. Mahmoodabadi, Yousef Ibrahim, Saleh Mobayen

“…To address this problem, this paper proposes an optimal fuzzy-PID technique for a two-degree-of-freedom cart-pole system. Fuzzy rules can be combined with controllers such as PID to tune their coefficients and allow the controller to deliver substantially improved performance. …”
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Trajectory Tracking of a Flexible Robot Manipulator by a New Optimized Fuzzy Adaptive Sliding Mode-Based Feedback Linearization Controller by M. J. Mahmoodabadi, N. Nejadkourki

“…Finally, a multiobjective particle swarm optimization algorithm is used to find the optimum fuzzy rules. The conflicting objective functions considered as the integrals of the absolute values of the state error and the control effort should be minimized, simultaneously. …”
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The Research of Maneuverability Modeling and Environmental Monitoring Based on a Robotic Dolphin by Zhibin Xue, Liangliang Li, Yixiao Song

“…To obtain a mathematical model, several disturbance signals were considered, including systematic uncertainties of the parameters, the perpetually changing environment, the interference from obstacles with effective fuzzy rules, and a sliding mode of control. Furthermore, a combined strategy of environment recognition was used for the positional control of the robotic dolphin, incorporating sonar, path planning with an artificial potential field, and trajectory tracking. …”
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