Showing 161 - 180 results of 315 for search '"fuzzy logic"', query time: 0.06s Refine Results
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    Analysis of Wind Data, Calculation of Energy Yield Potential, and Micrositing Application with WAsP by Fatih Topaloğlu, Hüseyin Pehlivan

    Published 2018-01-01
    “…The parameters required for building a wind power plant have been calculated using the fuzzy logic method by means of Wind Atlas Analysis and Application Program (WAsP) in this study. …”
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    Article
  6. 166

    Comparative Study of Multimodal Biometric Recognition by Fusion of Iris and Fingerprint by Houda Benaliouche, Mohamed Touahria

    Published 2014-01-01
    “…Our experimental results suggest that the fuzzy logic method for the matching scores combinations at the decision level is the best followed by the classical weighted sum rule and the classical sum rule in order. …”
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    Article
  7. 167

    Fuzzy Sliding Mode Control of Plate Vibrations by Manu Sharma, S.P. Singh

    Published 2010-01-01
    “…In this paper, fuzzy logic is meshed with sliding mode control, in order to control vibrations of a cantilevered plate. …”
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    Article
  8. 168

    Using WSR-88D Polarimetric Data to Identify Bird-Contaminated Doppler Velocities by Yuan Jiang, Qin Xu, Pengfei Zhang, Kang Nai, Liping Liu

    Published 2013-01-01
    “…In the first step, the fuzzy-logic method in the HCA is simplified and used to identify biological echoes (mainly from birds and insects). …”
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    Article
  9. 169

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

    Published 2010-01-01
    “…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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  10. 170

    Multi-valued mappings on Pompeiu-Hausdorff fuzzy b-metric spaces and a common fixed point result by Noreddine Makran, Stojan N. Radenović

    Published 2025-01-01
    “…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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  11. 171

    Development of a scenario-based fuzzy robust decision support system by Safar Fazli, Ali Niknam

    Published 2024-12-01
    “…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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  12. 172

    Identification and Analysis of Full Scale Ventilation Events by Luca Savio, Sverre Steen

    Published 2012-01-01
    “…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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  13. 173

    Doubly Fed Induction Generator Wind Turbines with Fuzzy Controller: A Survey by J. S. Sathiyanarayanan, A. Senthil Kumar

    Published 2014-01-01
    “…This paper presents fuzzy logic control of doubly fed induction generator (DFIG) wind turbine in a sample power system. …”
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  14. 174

    A Hybrid PID-Fuzzy Control for Linear SISO Systems with Variant Communication Delays by Adrian-Bogdan Hanchevici, Monica Patrascu, Ioan Dumitrache

    Published 2012-01-01
    “…The purpose of this approach is to adjust, by using the fuzzy logic, the command provided by the PID controller. …”
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  15. 175

    Fuzzy filtering of sensors signals in railway transport systems by Mhalla Anis, Simon Dutilleul

    Published 2024-06-01
    “…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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  16. 176

    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

    Published 2020-01-01
    “…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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  17. 177

    Assessment of landslide hazard models in Chamsangar basin by siamak baharvand, salman soori

    Published 2017-03-01
    “…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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  18. 178

    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

    Published 2013-01-01
    “…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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  19. 179

    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

    Published 2018-01-01
    “…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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  20. 180

    Management of Uncertainty by Statistical Process Control and a Genetic Tuned Fuzzy System by Stephan Birle, Mohamed Ahmed Hussein, Thomas Becker

    Published 2016-01-01
    “…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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