Results 61 to 70 of about 3,582,243 (248)
Remote SensingSemantic segmentation is crucial for a wide range of downstream applications in remote sensing, aiming to classify pixels in remote sensing images (RSIs) at the semantic level.
Guangyi Wei +5 more
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Axioms, 2021 This work is mainly focused on improving the differential evolution algorithm with the utilization of shadowed and general type 2 fuzzy systems to dynamically adapt one of the parameters of the evolutionary method.
Patricia Ochoa +3 more
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e-Prime: Advances in Electrical Engineering, Electronics and EnergyThe review systematically explores the theoretical foundations of type-2 fuzzy sets and the associated mathematical frameworks of the advancements in type-2 fuzzy logic systems (T2-FLS), as well as a comprehensive overview of the state-of-the-art ...
F. Paul Nishanth +2 more
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Two Person zero-sum fuzzy matrix games and extensions
, 2016 In this work, fuzzy Linear programming problems (FLPP) and their implementations is being done in two person zero-sum fuzzy matrix game theory, based on Bector, Chandra and Vijay [2] model. Verification of solution of all possible type of two person zero-
Singh, Rajani
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A Piecewise Type-2 Fuzzy Regression Model
International Journal of Computational Intelligence Systems, 2017 The type-2 fuzzy logic system permits us to model uncertainties existing in membership functions. Accordingly, this study aims to propose a linear and a piecewise framework for an interval type-2 fuzzy regression model based on the existing possibilistic
Narges Shafaei Bajestani +2 more
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Lattice embeddings between types of fuzzy sets. Closed-valued fuzzy sets
, 2017 In this paper we deal with the problem of extending Zadeh's operators on fuzzy sets (FSs) to interval-valued (IVFSs), set-valued (SVFSs) and type-2 (T2FSs) fuzzy sets.
Lobillo, F. J. +3 more
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Type-2 Fuzzy ANP and TOPSIS methods based on trapezoid Fuzzy number with a new metric
IJAIN (International Journal of Advances in Intelligent Informatics)Modeling and linguistic representation in the form Interval Type-2 Fuzzy have better accuracy than Type-1 Fuzzy. The type-2 fuzzy set involves more uncertainty than the type-1 fuzzy set.
Yeni Kustiyahningsih +3 more
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A Robust Control via a Fuzzy System with PID for the ROV
Sensors, 2023 Uncertainty and nonlinearity in the depth control of remotely operated vehicles (ROVs) have been widely studied, especially in complex underwater environments. To improve the motion performance of ROVs and enhance their robustness, the model of ROV depth
Junjie Dong, Xingguang Duan
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Fuzzy logic control for energy saving in autonomous electric vehicles [PDF]
, 2014 Limited battery capacity and excessive battery dimensions have been two major limiting factors in the rapid advancement of electric vehicles. An alternative to increasing battery capacities is to use better: intelligent control techniques which save ...
Al-Jazaeri, Ahmed O. +3 more
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Interval Type-2 Fuzzy Control for HMM-Based Multiagent Systems via Dynamic Event-Triggered Scheme
IEEE transactions on fuzzy systems, 2021 This article discusses the interval type-2 (IT2) Takagi–Sugeno (T-S) fuzzy asynchronous controller design problem for nonlinear multiagent systems via a dynamic event-triggered scheme in the discrete-time context.
Yuan-Hua Wang +4 more
semanticscholar +1 more source