Results 141 to 150 of about 228,240 (165)
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Maximum power point tracking control of solar power generation systems based on type-2 fuzzy logic
2016 12th World Congress on Intelligent Control and Automation (WCICA), 2016This paper has proposed maximum power point tracking (MPPT) control for stand-alone solar power generation systems via the type-2 Takagi-Sugeno (T-S) fuzzy-model-based approach. In order to deal with the uncertainties in the modeling procedure, the type-2 T-S fuzzy technology is employed.
Shun Zhang +4 more
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2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2018
Efficient utilization of resources (engineers) is critical to optimal service delivery in service-based industries, such as water, electricity or telecom companies. One of the ways in which efficiency can be improved is by optimizing the geographic area in which the engineers operate. This process is known as Work Area (WA) optimization and it is a sub-
Ravikiran Chimatapu +3 more
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Efficient utilization of resources (engineers) is critical to optimal service delivery in service-based industries, such as water, electricity or telecom companies. One of the ways in which efficiency can be improved is by optimizing the geographic area in which the engineers operate. This process is known as Work Area (WA) optimization and it is a sub-
Ravikiran Chimatapu +3 more
openaire +1 more source
Journal of Intelligent & Fuzzy Systems, 2019
Since the non-singleton fuzzy logic controllers (NFLCs) can effectively reflect the uncertainty brought by the inputs, they are used for balance control and position control of the mobile two-wheeled self-balancing robot (MTWSBR) in this paper.
Qian Yu +4 more
semanticscholar +1 more source
Since the non-singleton fuzzy logic controllers (NFLCs) can effectively reflect the uncertainty brought by the inputs, they are used for balance control and position control of the mobile two-wheeled self-balancing robot (MTWSBR) in this paper.
Qian Yu +4 more
semanticscholar +1 more source
Journal of Intelligent & Fuzzy Systems, 2019
In this paper, a general type-2 fuzzy logic controller (GT2FLC), which is optimized by the particle swarm optimization (PSO) algorithm, is applied to a power-line inspection (PLI) robot.
T. Zhao +5 more
semanticscholar +1 more source
In this paper, a general type-2 fuzzy logic controller (GT2FLC), which is optimized by the particle swarm optimization (PSO) algorithm, is applied to a power-line inspection (PLI) robot.
T. Zhao +5 more
semanticscholar +1 more source
Soft Computing, 2013
The global economic meltdown of the late 2000s exposed many organisations around the world, this drove the need to build robust frameworks for predicting and assessing risks in financial applications. Such predictive frameworks helped organisations to increase the quality and quantity of their transactions hence increasing the revenues and reducing the
Bernardo, Dario +2 more
openaire +2 more sources
The global economic meltdown of the late 2000s exposed many organisations around the world, this drove the need to build robust frameworks for predicting and assessing risks in financial applications. Such predictive frameworks helped organisations to increase the quality and quantity of their transactions hence increasing the revenues and reducing the
Bernardo, Dario +2 more
openaire +2 more sources
Intelligent Decision Technologies, 2019
The hybrid of artificial neural network (ANN) and fuzzy logic system (FLS) can expend itself dynamically in a strong discovery of explicit knowledge to solve classification and regression problems with new input patterns. In this paper, a hybrid of Generalized Adaptive Resonance Theory (GART) and interval type-2 fuzzy logic system (IT2FLS) algorithm is
Leow, Shoun Ying +3 more
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The hybrid of artificial neural network (ANN) and fuzzy logic system (FLS) can expend itself dynamically in a strong discovery of explicit knowledge to solve classification and regression problems with new input patterns. In this paper, a hybrid of Generalized Adaptive Resonance Theory (GART) and interval type-2 fuzzy logic system (IT2FLS) algorithm is
Leow, Shoun Ying +3 more
openaire +1 more source
Journal of Experimental & Theoretical Artificial Intelligence, 2018
Reliability, a measure of software, deals in total number of faults count up to a certain period of time.
Subhashis Chatterjee +2 more
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Reliability, a measure of software, deals in total number of faults count up to a certain period of time.
Subhashis Chatterjee +2 more
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Stability Analysis of Dynamic General Type-2 Fuzzy Control System With Uncertainty
IEEE Transactions on Systems, Man, and Cybernetics: SystemsA growing body of literature has proved that general type-2 fuzzy control systems (GT2 FCSs) are reliable, robust, and safe control systems against severe external disturbances, high levels of noise, and uncertainty that are inevitable in real-world ...
Zahra Namadchian +5 more
semanticscholar +1 more source
2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES)
Rainfall prediction is vitally important in the agricultural, hydrological, and meteorological sectors. Correct rainfall prediction is becoming more difficult with the increasing impact of change in climate on rainfall patterns.
F. Azad, P. Shukla
semanticscholar +1 more source
Rainfall prediction is vitally important in the agricultural, hydrological, and meteorological sectors. Correct rainfall prediction is becoming more difficult with the increasing impact of change in climate on rainfall patterns.
F. Azad, P. Shukla
semanticscholar +1 more source
Robustness of General Type-2 TSK Fuzzy Systems
IEEE International Conference on Fuzzy SystemsThis article presents the robustness of General Type-2 fuzzy logic system (GT2 FLS) as an extension of interval type-2 (IT2) FLS. The theoretical base and mathematical derivations developed for robustness of IT2 FLS is extended for GT2 FLS using $\alpha$
D. Singh +3 more
semanticscholar +1 more source