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  1. 3121

    An Extended Analytical Approach to Evaluating Monotonic Functions of Fuzzy Numbers by Arthur Seibel, Josef Schlattmann

    Published 2014-01-01
    “…The approach is based on a parametric α-cut representation of fuzzy numbers and allows for the inclusion of parameter uncertainties into mathematical models.…”
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    Article
  2. 3122

    Editorial for the Special Issue ‘Molecular Breeding and Genetics Research in Plants’ by Shimeles Tilahun

    Published 2024-12-01
    “…Despite significant advancements in plant breeding research, the challenges posed by a growing global population, the impact of abiotic and biotic stresses, and the uncertainties of climate change necessitate continued focus and innovation in plant breeding and genetic studies [...]…”
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    Article
  3. 3123

    Soil column leaching experiments – inverse modelling to derive environmental fate parameters by Stephan Sittig, Thomas Augustin, Siqi Cao, Robin Sur

    Published 2025-04-01
    “…This procedure is suggested to determine sorption parameters for compounds currently not possible to evaluate in regulatory exposure assessments, considering numerical simulations and more robust parameter estimation including parameter uncertainties.…”
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    Article
  4. 3124

    A robust must‐run capacity identifying approach in power system dispatch considering interdependence with natural gas system by Wenqi Wu, Yunpeng Xiao, Tao Hu, Xiuli Wang

    Published 2024-12-01
    “…However, the existing approaches identify the MRC without considering the ever‐strengthening interdependence between power system and natural gas (NG) system, as well as neglecting either the uncertainties of renewables or the constraints on start‐up/shut‐down states for thermal units. …”
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    Article
  5. 3125

    An Analytical Approach to Evaluating Nonmonotonic Functions of Fuzzy Numbers by Arthur Seibel, Josef Schlattmann

    Published 2015-01-01
    “…The approach is based on a parametric α-cut representation of fuzzy numbers and allows for the inclusion of parameter uncertainties into mathematical models.…”
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    Article
  6. 3126

    Period-Doubling Bifurcation of Stochastic Fractional-Order Duffing System via Chebyshev Polynomial Approximation by Youming Lei, Yanyan Wang

    Published 2017-01-01
    “…And many real world problems related to uncertainties can be modeled with stochastic fractional-order systems with random parameters. …”
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    Article
  7. 3127

    Synchronization of Chaotic Gyros Based on Robust Nonlinear Dynamic Inversion by Inseok Yang, Dongik Lee

    Published 2013-01-01
    “…A robust nonlinear dynamic inversion (RNDI) technique is proposed in order to synchronize the behavior of chaotic gyros subjected to uncertainties such as model mismatches and disturbances. …”
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    Article
  8. 3128

    De la crainte de la damnation éternelle aux prémisses de l’angoisse existentielle contemporaine : inquiétudes sotériologiques et eschatologiques chez William Hale White (« Mark Rut... by Jean-Michel Yvard

    Published 2006-12-01
    “…Indeed, in the context of a relentless secularisation of world views, man’s uncertainties about his personal fate after death were bound to increase. …”
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    Article
  9. 3129

    Robust Tracking Control of a Quadrotor UAV Based on Adaptive Sliding Mode Controller by Tianpeng Huang, Deqing Huang, Zhikai Wang, Awais Shah

    Published 2019-01-01
    “…In this paper, a robust adaptive sliding mode control scheme is developed for attitude and altitude tracking of a quadrotor unmanned aerial vehicle (UAV) system under the simultaneous effect of parametric uncertainties and consistent external disturbance. The underactuated dynamic model of the quadrotor UAV is first built via the Newton–Euler formalism. …”
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    Article
  10. 3130

    A New Simulation Method Providing Shock Mount Selection Assurance by Michael A. Talley, Shahram Sarkani

    Published 2003-01-01
    “…SIMPLE is also a tool that can easily account for uncertainties in isolated systems and their environments. …”
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    Article
  11. 3131

    Predictive Control for Interval Type-2 Fuzzy System with Event-Triggered Scheme by Siyao Wang, Xiaoming Tang, Li Deng, Hongchun Qu, Linfeng Tian, Cheng Tan

    Published 2019-01-01
    “…The IT2 T-S fuzzy model is utilized to address the nonlinearity of plant with parameter uncertainties, which can be captured by the lower and upper membership functions. …”
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    Article
  12. 3132

    High-Order Sliding Mode-Based Synchronous Control of a Novel Stair-Climbing Wheelchair Robot by Juanxiu Liu, Yifei Wu, Jian Guo, Qingwei Chen

    Published 2015-01-01
    “…For the attitude control of a novel stair-climbing wheelchair with inertial uncertainties and external disturbance torques, a new synchronous control method is proposed via combing high-order sliding mode control techniques with cross-coupling techniques. …”
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    Article
  13. 3133

    Intelligent Robust Control of Roadheader Based on Disturbance Observer by Shuo Wang, Dongjie Wang, Aixiang Ma, Xihao Yan, Sihai Zhao

    Published 2025-01-01
    “…This paper proposes an intelligent robust control scheme for the cutting head trajectory of a coal mine tunneling robot, which is susceptible to unknown external disturbances, system nonlinearity, and parameter uncertainties. First, the working conditions of the cutting section were analyzed, and a mathematical model was established. …”
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  14. 3134

    Design and Robustness Analysis of Multiple Extended State Observer Based Controller (MESOBC) for AVR of the Power System by Ravi Gandhi, S. B. Masikana, Gulshan Sharma, Emre Çelik

    Published 2023-01-01
    “…Automatic voltage regulator (AVR) is installed on the synchronous generators in the power system and plays a very important role in maintaining the generator output voltage besides changes in load demand, parametric uncertainties, and operating temperature. As the load is continuously varying in the system, the AVR needs controllers to track and regulate the voltage of the synchronous generator much faster. …”
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  15. 3135

    Fragility analysis of concrete elevated water tanks under seismic loads by Amar Aliche, Hocine Hammoum, Karima Bouzelha, Younes Aoues, Ouali Amiri, Youcef Mehani

    Published 2021-07-01
    “…The design of concrete elevated water tanks involves several kinds of uncertainties. Traditionally, the design of these structures is based on a deterministic analysis. …”
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    Article
  16. 3136

    Reliability Assessment of 2400 MWth Gas-Cooled Fast Reactor Natural Circulation Decay Heat Removal in Pressurized Situations by C. Bassi, M. Marques

    Published 2008-01-01
    “…This reliability method for passive systems (RMPSs) is based on uncertainties propagation into thermal-hydraulic (T-H) calculations. …”
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  17. 3137

    A Novel Approach Based on Sine Trigonometric Picture Fuzzy Aggregation Operators and Their Application in Decision Support System by Saleem Abdullah, Saifullah Khan, Muhammad Qiyas, Ronnason Chinram

    Published 2021-01-01
    “…Picture fuzzy sets (PFSs) are one of the fundamental concepts for addressing uncertainties in decision problems, and they can address more uncertainties compared to the existing structures of fuzzy sets; thus, their implementation was more substantial. …”
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  18. 3138

    Forecasting Eruptions at Poorly Known Volcanoes Using Analogs and Multivariate Renewal Processes by Ting Wang, Mark Bebbington, Shane Cronin, Joel Carman

    Published 2022-06-01
    “…Using such matches produces large forecasting uncertainties. We created a statistical tool to identify and test the compatibility of potential analogue volcanoes based on repose‐time characteristics from world‐wide datasets. …”
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    Article
  19. 3139

    A Fuzzy Logic Technique for the Environmental Impact Assessment of Marine Renewable Energy Power Plants by Pamela Flores, Edgar Mendoza

    Published 2025-01-01
    “…The application of fuzzy logic to environmental impact assessment (EIA) provides a robust method to address uncertainties and subjectivities inherent in evaluating complex environmental systems. …”
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    Article
  20. 3140

    Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means. by Yuhang Zhang, Xiaofeng Wu, Jiawei Xu, Zihao Ning, Xiao Han

    Published 2025-01-01
    “…We introduce a fuzzy C-means clustering method enhanced by quantum particle swarm optimization (QPSO) to manage data uncertainties, improving classification accuracy and convergence speed. …”
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    Article