An Innovative Architecture of UTC GPS/INS System with Improved Performance under Severe Jamming by Xueyun Wang, Jingjuan Zhang, Wei Wang, Pengyu Gao

“…The bandwidth will be adapted through a fuzzy logic controller according to the calculated carrier to noise intensity ratio (C/N0). …”
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Detecting Cross-Site Scripting in Web Applications Using Fuzzy Inference System by Bakare K. Ayeni, Junaidu B. Sahalu, Kolawole R. Adeyanju

“…This paper describes the method implemented based on fuzzy logic to detect classic XSS weaknesses and to provide some results on experimentations. …”
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Nonlinear Control of an Active Magnetic Bearing System Achieved Using a Fuzzy Control with Radial Basis Function Neural Network by Seng-Chi Chen, Van-Sum Nguyen, Dinh-Kha Le, Nguyen Thi Hoai Nam

“…The mathematical model of an AMB system comprises identification followed by collection of information from this system. A fuzzy logic controller (FLC), the parameters of which are adjusted using a radial basis function neural network (RBFNN), is applied to the unbalanced vibration in an AMB system. …”
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A Fuzzy Control Strategy for Multi-Goal Autonomous Robot Navigation by Stavros Stavrinidis, Paraskevi Zacharia, Elias Xidias

“…The integration of fuzzy logic with TSP-based path planning and real-time dynamic obstacle handling represents a significant advancement in autonomous robot navigation. …”
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Artificial Empathy and Imprecise Communication in a Multi-Agent System by Joanna Siwek, Konrad Pierzyński, Przemysław Siwek, Adrian Wójcik, Patryk Żywica

“…A significant feature of this model is its handling of imprecision through fuzzy logic, using fuzzy similarity measures in the decision process. …”
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Diagnosis experience of traction engines of locomotives by Ngoulou-A-Ndzeli, V. Yu. Tetter, V. G. Shakhov

“…Authors propose a method and algorithms for the rapid diagnosis of locomotives traction engines based on duplication of main frequency channel by additional wavelet analysis and decision — making on the methodology of fuzzy logic. The method and corresponding algorithms are uses for programming controllers of vibrodiagnostic systems.…”
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Performance Evaluation of Various Z-Source Inverter Topologies for PV Applications Using AI-Based MPPT Techniques by N. Kalaiarasi, A. Sivapriya, Pradeep Vishnuram, Mukesh Pushkarna, Mohit Bajaj, Hossam Kotb, Sadam Alphonse

“…Also, artificial neural networks (ANNs), fuzzy logic controller (FLC), and adaptive neuro-fuzzy inference system (ANFIS)-based MPPT techniques are discussed for obtaining maximum power from PV panels. …”
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Finite-Time Adaptive Control of Nonstrict-Feedback Nonlinear Systems With Time-Varying Full State Constraints by Jiahuan Lv, Rui Zhang, Junmin Li, Jianmin Jiao, Yuan Cheng, Xuejie Yang

“…This paper proposes a finite-time adaptive tracking fuzzy control approach for nonlinear nonstrict-feedback systems with unknown disturbances and time-varying full state constraints. The fuzzy logic system is used to approximate the unknown nonlinear function, and the tan-type barrier technique is used to keep all states inside a predetermined region. …”
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Evaluating Visual Satisfaction in Urban Sculpture Spaces: A Multi-Criteria Decision Making Approach by Dianwei Zou, Liping Pan

“…Due to the combination of interval-valued fuzzy logic with disc geometry, D-IVFFS offers a form of more flexible, efficient, and accurate approach for managing uncertainty than F-sets. …”
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Review of Condition Rating and Deterioration Modeling Approaches for Concrete Bridges by Nour Faris, Tarek Zayed, Ali Fares

“…Techniques such as fuzzy logic and non-destructive evaluation (NDE) methods were identified as promising tools to mitigate uncertainties and enhance accuracy. …”
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Buildings, Causalities, and Injuries Innovative Fuzzy Damage Model during Earthquakes by Mohammad Reza Amiri Shahmirani, Abbas Akbarpour Nikghalb Rashti, Mohammad Reza Adib Ramezani, Emadaldin Mohammadi Golafshani

“…In this study, the degree of damage to the structure is first determined and the potential damage is then predicted using field data and fuzzy logic (FL). Effective parameters in the model include the structure height, building age, shear wave velocity in the soil, the plan equivalent moment of inertia, distance to the fault, earthquake factor, the number of inhabitants in the building, and the building height-to-width ratio (HWR). …”
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Analysis, Filtering, and Control for Takagi-Sugeno Fuzzy Models in Networked Systems by Sunjie Zhang, Zidong Wang, Jun Hu, Jinling Liang, Fuad E. Alsaadi

“…The fuzzy logic theory has been proven to be effective in dealing with various nonlinear systems and has a great success in industry applications. …”
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Sustainable Strategic Alliance Partner Selection Using a Neutrosophic-Based Decision-Making Model: A Case Study in Passive Component Manufacturing by Huai-Wei Lo, Dong-Shang Chang, Lee-Te Huang

“…This study introduces neutrosophic fuzzy logic to reflect the uncertainty in complex problems. …”
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Adaptive Fuzzy Control for Attitude Stabilization of Spacecraft with Deployable Composite Laminated Solar Array by Wei Zhang, Weibing Zhu, Shijie Zhang, Xiangtian Zhao

“…This paper proposed a novel adaptive proportional-derivative typed fuzzy logic control scheme for the attitude stabilization of a flexible spacecraft during the deployment of a composite laminated solar array. …”
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Fuzzy Neural Network Applications in Biomass Gasification and Pyrolysis for Biofuel Production: A Review by Vladimir Bukhtoyarov, Vadim Tynchenko, Kirill Bashmur, Oleg Kolenchukov, Vladislav Kukartsev, Ivan Malashin

“…This study highlights the application of fuzzy neural networks (FNNs)—a hybrid approach that integrates the strengths of fuzzy logic and neural networks—as a novel tool to address these challenges. …”
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Parameters Determination via Fuzzy Inference Systems for the Logistic Populations Growth Model by Yuney Gorrin-Ortega, Selene Lilette Cardenas-Maciel, Jorge Antonio Lopez-Renteria, Nohe Ramon Cazarez-Castro

“…This study addresses the fuzzy parameters (coefficient) determination for the logistic population growth model, proposing a novel methodology based on fuzzy logic concepts. Population dynamics are often modeled using differential equations whose parameters represent critical ecological information, where the parameters determination is a problem itself. …”
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Wearable Sensor-Based Exercise Monitoring System for Higher Education Students Using a Multi-Attribute Fuzzy Evaluation Model by Shiping Yu, Xiaowei Peng

“…The MAFEM approach uses the fuzzy set and fuzzy logic to derive the relationship between the features. …”
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A Fuzzy-Decision Based Approach for Composite Event Detection in Wireless Sensor Networks by Shukui Zhang, Hao Chen, Qiaoming Zhu, Juncheng Jia

“…The Composite event judgment mechanism which is based on fuzzy-decision holds the superiority of the fuzzy-logic based algorithm; moreover, it does not need the support of a huge rule base and its computational complexity is small. …”
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Adaptive Constant False Alarm Detector Based on Composite Fuzzy Fusion Rules by Yuyao Yang, Chunbo Xiu

“…The simulation experiment results show that the average detection probability of CFKLQ-CFAR is 2.67% and 1.00% higher than that of KLQ-CFAR and the fuzzy logic fusion detector (FUMCA-CFAR) in a multiple-target environment. …”
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A Game-Theoretic Response Strategy for Coordinator Attack in Wireless Sensor Networks by Jianhua Liu, Guangxue Yue, Shigen Shen, Huiliang Shang, Hongjie Li

“…In this paper, we propose an adaptive coordinator selection algorithm using game and fuzzy logic aiming at both minimizing the average number of hops and maximizing network lifetime. …”
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