Hardware-in-the-Loop Simulation for Spacecraft Formation Flying by Jinjun Shan, Piotr Wenderski

“…Considering a leader-follower formation flying configuration, a Fuzzy Logic controller is developed first to maintain the desired formation shape under external perturbations and the initial position offsets. …”
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An Intelligent System for Load Forecasting on a Distribution Network by Saheed Gbadamosi, Ojo Olukayode Adedayo

“…This technique is an integrated system consisting of fuzzy logic systems and Artificial Neural network (ANN). …”
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Multi-valued mappings on Pompeiu-Hausdorff fuzzy b-metric spaces and a common fixed point result by Noreddine Makran, Stojan N. Radenović

“…Introduction/purpose: The study of the theory of fuzzy sets was prompted by the presence of uncertainty as an essential part of real-world problems, leading Zadeh to address the problem of indeterminacy. The notion of fuzzy logic was introduced by Zadeh. Unlike traditional logic theory, where an element either belongs to the set or does not, in fuzzy logic, the affiliation of the element to the set is expressed as a number from the interval [0, 1]. …”
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Development of a scenario-based fuzzy robust decision support system by Safar Fazli, Ali Niknam

“…In a world full of uncertainties, researchers invented methods such as scenario planning and robust decision making, and for highly ambiguous environments they tough up fuzzy logic. Today, without a decision support system, decision making will be done relatively slowly. …”
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Identification and Analysis of Full Scale Ventilation Events by Luca Savio, Sverre Steen

“…The ventilation events are identified by means of an analysis procedure based on fuzzy logic. The paper contains both a basic introduction to fuzzy logic and a detailed description of the analysis procedure. …”
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Doubly Fed Induction Generator Wind Turbines with Fuzzy Controller: A Survey by J. S. Sathiyanarayanan, A. Senthil Kumar

“…This paper presents fuzzy logic control of doubly fed induction generator (DFIG) wind turbine in a sample power system. …”
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A Hybrid PID-Fuzzy Control for Linear SISO Systems with Variant Communication Delays by Adrian-Bogdan Hanchevici, Monica Patrascu, Ioan Dumitrache

“…The purpose of this approach is to adjust, by using the fuzzy logic, the command provided by the PID controller. …”
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Fuzzy filtering of sensors signals in railway transport systems by Mhalla Anis, Simon Dutilleul

“…The findings reveal that the fuzzy logic allows the maintenance of the travel process in a degraded mode while ensuring traffic quality and customer safety by incorporating expert knowledge.…”
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Evaluation and Design of Power Controller of Two-Axis Solar Tracking by PID and FL for a Photovoltaic Module by Joel J. Ontiveros, Carlos D. Ávalos, Faustino Loza, Néstor D. Galán, Guillermo J. Rubio

“…Two controllers are designed to be evaluated in the solar tracking system, one Proportional-Integral-Derivative and the other by Fuzzy Logic. The evaluation of the simulations shows a better performance of the controller by Fuzzy Logic; this is because it presents a shorter stabilization time, a transient of smaller amplitude, and a lower percentage of error in steady-state. …”
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Assessment of landslide hazard models in Chamsangar basin by siamak baharvand, salman soori

“…The purpose of this study is to compare the landslide susceptibility mapping models based on Fuzzy logic, Information value and area Density applied in the Chamsangar watershed. …”
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Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks in Nonlinear Identification by Oscar Castillo, Juan R. Castro, Patricia Melin, Antonio Rodriguez-Diaz

“…Neural networks (NNs), type-1 fuzzy logic systems (T1FLSs), and interval type-2 fuzzy logic systems (IT2FLSs) have been shown to be universal approximators, which means that they can approximate any nonlinear continuous function. …”
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Hybrid Type-2 Fuzzy-Sliding Mode Controller for Navigation of Mobile Robot in an Environment Containing a Dynamic Target by Dorra Ayedi, Maïssa Boujelben, Chokri Rekik

“…The reactive method consists of the hierarchical fuzzy controllers based on Type-2 Fuzzy Logic System (T2-FLS), dedicated to commanding the robot towards a mobile target while avoiding unexpected obstacles. …”
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Management of Uncertainty by Statistical Process Control and a Genetic Tuned Fuzzy System by Stephan Birle, Mohamed Ahmed Hussein, Thomas Becker

“…In order to keep the process on its optimal growth trajectory (model based reference trajectory) a fuzzy logic controller is used that alternates the process temperature. …”
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Torque Split Strategy for Parallel Hybrid Electric Vehicles with an Integrated Starter Generator by Zhumu Fu, Aiyun Gao, Xiaohong Wang, Xiaona Song

“…This paper presents a torque split strategy for parallel hybrid electric vehicles with an integrated starter generator (ISG-PHEV) by using fuzzy logic control. By combining the efficiency map and the optimum torque curve of the internal combustion engine (ICE) with the state of charge (SOC) of the batteries, the torque split strategy is designed, which manages the ICE within its peak efficiency region. …”
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OPTIMIZATION OF FUZZY INVENTORY MANAGEMENT IN INDUSTRIAL PROCESSES USING DEEP LEARNING ALGORITHMS: A HYBRID APPROACH FOR ENHANCING DEMAND FORECASTING AND SUPPLY CHAIN EFFICIENCY by K. Kalaiarasi*, S. Swathi

“…This paper introduces a novel approach that combines fuzzy logic and deep learning to address these limitations. …”
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A Soft Computing Approach to Crack Detection and Impact Source Identification with Field-Programmable Gate Array Implementation by Arati M. Dixit, Harpreet Singh

“…The CDISI fuzzy inference system is developed using MATLAB’s fuzzy logic toolbox. A VLSI circuit for CDISI is developed on basis of fuzzy logic model using Verilog, a hardware description language (HDL). …”
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Development of Energy Efficient Clustering Protocol in Wireless Sensor Network Using Neuro-Fuzzy Approach by E. Golden Julie, S. Tamil Selvi

“…Fuzzy rule is used in fuzzy logic part that inputs to form clusters. NFEACS is designed for WSN handling mobility of node. …”
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Estimation of Performance Indices for the Planning of Sustainable Transportation Systems by Alexander Paz, Pankaj Maheshwari, Pushkin Kachroo, Sajjad Ahmad

“…The fuzzy logic modeling approach enables the treatment of the vagueness associated with some of the relevant data. …”
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A multi-source data-driven approach for navigation safety integrating computational intelligence and Bayesian networks by Xiaotong Qu, Chengbo Wang, Chengbo Wang

“…To reduce the impact of these risks on ships and crews, this paper proposes a navigation risk assessment method that integrates computational intelligence (CI) techniques, such as fuzzy logic, with Bayesian networks (BNs) and utility theory. …”
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Power Transformer Fault Severity Estimation Based on Dissolved Gas Analysis and Energy of Fault Formation Technique by Edwell T. Mharakurwa, G. N. Nyakoe, A. O. Akumu

“…Severity of faults detected by fuzzy logic-based key gas method is evaluated through the use of collected data from several in-service and faulty transformers. …”
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