Results 21 to 30 of about 228,240 (165)
IEEE Access, 2019 General type-2 fuzzy logic systems (GT2 FLSs) have become a hot topic in current academic field. Computing the centroids of general type-2 fuzzy sets (also called type-reduction) is a central block in GT2 FLSs. Recent studies prove the continuous Nie-Tan
Yang Chen
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Neuro-fuzzy knowledge processing in intelligent learning environments for improved student diagnosis [PDF]
, 2005 In this paper, a neural network implementation for a fuzzy logic-based model of the diagnostic process is proposed as a means to achieve accurate student diagnosis and updates of the student model in Intelligent Learning Environments.
Grigoriadou, M. +3 more
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Adaptive Non-singleton Type-2 Fuzzy Logic Systems: A Way Forward for Handling Numerical Uncertainties in Real World Applications [PDF]
, 2011 Real world environments are characterized by high levels of linguistic and numerical uncertainties. A Fuzzy Logic System (FLS) is recognized as an adequate methodology to handle the uncertainties and imprecision available in real world environments and ...
Hagras, Hani, Sahab, Nazanin
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A layered fuzzy logic controller for nonholonomic car-like robot [PDF]
, 2006 A system for real time navigation of a nonholonomic car-like robot in a dynamic environment consists of two layers is described: a Sugeno-type fuzzy motion planner; and a modified proportional navigation based fuzzy controller.
El-Khatib, M.M., Hamilton, D.J.
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International Journal of Energy Research, 2021 SummaryA robust type‐2 fuzzy logic (FL)‐based approach for maximum power point tracking (MPPT) is proposed in this work. The method is used to increase the energy efficiency of thermoelectric generators (TEGs). Type‐2 FL was applied to adapt the variable step size of incremental resistance (INR) MPPT to track the maximum available power of a TEG.
Hegazy Rezk, Abdelghani Harrag
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Review of Recent Type-2 Fuzzy Controller Applications
Algorithms, 2016 Type-2 fuzzy logic controllers (T2 FLC) can be viewed as an emerging class of intelligent controllers because of their abilities in handling uncertainties; in many cases, they have been shown to outperform their Type-1 counterparts. This paper presents a
Kevin Tai +5 more
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IEEE Transactions on Human-Machine Systems, 2021 In this article, a new type-2 fuzzy-based modeling approach is proposed to assess human operators’ psychophysiological states for both safety and reliability of human–machine interface systems.
Changjiang He +2 more
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Труды Института системного программирования РАН, 2019 E-commerce is a runaway activity growing at an unprecedented rate all over the world and drawing millions of people from different spots on the globe. At the same time, e-commerce affords ground for malicious behavior that becomes a subject of principal ...
Mikhail Mikhailovitch Nosovsyi +1 more
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A Modular Programmable CMOS Analog Fuzzy Controller Chip [PDF]
, 1999 We present a highly modular fuzzy inference analog CMOS chip architecture with on-chip digital programmability. This chip consists of the interconnection of parameterized instances of two different kind of blocks, namely label blocks and rule blocks. The
Delgado Restituto, Manuel +3 more
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Performance Measurement Under Increasing Environmental Uncertainty In The Context of Interval Type-2 Fuzzy Logic Based Robotic Sailing [PDF]
, 2013 Performance measurement of robotic controllers based on fuzzy logic, operating under uncertainty, is a subject area which has been somewhat ignored in the current literature.
Aickelin, Uwe +2 more
core +3 more sources