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Multivariate Fuzzy Approximation by Neural Network Operators Induced by a General Sigmoid Function
Here is studied in detail the multivariate fuzzy approximation to the multivariate unit by multivariate fuzzy neural network operators activated by a...
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HiTL-based adaptive fuzzy tracking control of MASs: A distributed fixed-time strategy
Human-in-the-loop (HiTL) control is promising for the cooperative control problem of multi-agent systems (MASs) under the complicated environment. By...
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Modeling the weld bead penetration in the presence of Cr2O3 nanoparticles in the submerged arc welding process using a modified neuro-fuzzy system
Submerged arc welding (SAW) is a widely used technique in various industries for welding thick plates. The quality of welded joints produced by this...
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Multivariate Fuzzy-Random and Stochastic Various Activation Functions Activated Neural Network Approximations
In this chapter we study the degree of approximation of multivariate pointwise and uniform convergences in the q-mean to the Fuzzy-Random unit...
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Development of a constraint stabilization method of multibody systems based on fuzzy logic control
The numerical solution of multibody systems is not a straightforward problem. The formulation of the equations of motion is augmented with the...
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A Multimodal Face and Fingerprint Authentication System Using Fuzzy Set Exponential Water Wave Optimization
Especially in the financial sector and law enforcement, biometric authentication technologies are becoming crucial. Unimodal systems were utilised in...
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Linear Orthopair Fuzzy Sets
Fuzzy sets underlie uncertainty analysis and intelligent processing. Their generalizations have become a valuable topic, and there are multiple types...
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Multivariate Fuzzy-Random and Stochastic General Sigmoid Activation Function Generated Neural Network Approximations
In this chapter we research the degree of approximation of multivariate pointwise and uniform convergences in the q-mean to the Fuzzy-Random unit...
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A Modified Neuro-Fuzzy System for Accuracy Improvement of Low-Cost MEMS-Based INS/GPS Navigation System
Integration of an inertial navigation system (INS) and global positioning system (GPS) assures the reliability and accuracy of navigation solutions...
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L-fuzzifying approximation operators derived from general L-fuzzifying neighborhood systems
For a completely distributive De Morgan algebra L , we develop a general framework of L -fuzzy rough sets. Said precisely, we introduce a pair of L -fuzz...
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Oppositional Grass Hopper Optimization with Fuzzy Classifier for Face Recognition from Video Database
Recognizing faces from the video employs artificial intelligence-based computer technology. This includes applications such as law enforcement,...
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Using fuzzy reasoning to improve redundancy elimination for data deduplication in connected environments
The Internet of Things is ushering in the era of connected environments where the number and diversity of data sources (devices and sensors) are...
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Generalized fuzzy variable precision rough sets based on bisimulations and the corresponding decision-making
Recently, the classical rough set has been extended in many ways. However, some of them are based on binary relations which only excavate “one step”...
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A GIS-based framework using fuzzy relation equation system solutions in urban planning
Several fuzzy decision models are proposed in literature to solve urban planning problems. In this research we present a novel GIS-based framework to...
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Memory-based variable neighborhood search for green vehicle routing problem with passing-by drivers: a comprehensive perspective
A business delivery model with professional vehicles as well as occasional passing-by vehicles is investigated in this paper. The drivers deliver...
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Fuzzy Logic-Based Crop Diversification to Increase Crop Yield
Nowadays, farmers are facing a major loss in crop production due to various reasons such as reduction in soil fertility, lack of irrigation...
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Formation control of nonholonomic wheeled mobile robots via fuzzy fractional-order integral sliding mode control
This paper presents a robust formation control scheme for a team of nonholonomic wheeled mobile robots. First, the formation kinematic controller is...
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Fuzzy Regression Analysis Based on Fuzzy Neural Networks Using Trapezoidal Data
Fuzzy regression is a generalized regression model to represent the relationship between dependent and independent variables in a fuzzy environment....
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Hybrid Multi-polar Fuzzy Models
In this chapter, the advantages of multi-polar (m–polar) fuzzy information are explored. In fact hybrid models are presented by combining...
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Multivariate Fuzzy-Random and Stochastic Arctangent, Algebraic, Gudermannian and Generalized Symmetric Activation Functions Induced Neural Network Approximations
In this article we study the degree of approximation of multivariate pointwise and uniform convergences in the q-mean to the Fuzzy-Random unit...