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Residual deep fuzzy system with randomized fuzzy modules for accurate time series forecasting
The data-driven modular deep fuzzy model has demonstrated excellent forecasting performance due to its clear architecture and powerful fuzzy...
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Robust interval type-2 kernel-based possibilistic fuzzy deep local information clustering driven by Lambert-W function
Interval type-2 fuzzy sets not only have stronger ability to deal with uncertainty, but also have low computational complexity than general type-2...
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A fuzzy computing approach to aggregate expert opinions using parabolic and exparabolic approximation procedures for solving multi-criteria group decision-making problems
Triangular fuzzy numbers (TFNs) are widely used for selection problems to determine expert opinions using linguistic expressions. Some aggregation...
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On Relationships Between Approximate Bisimulations for Fuzzy Graphs and Their Approximation Degrees
Approximate bisimulations have recently gained broad attention in the fuzzy community. As they aim to fuzzify the equivalence between the observed...
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T2RFIS: type-2 regression-based fuzzy inference system
This article discusses a novel type-2 fuzzy inference system with multiple variables in which no fuzzy rules are explicitly defined. By using a...
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Knowledge Base Generation Based on Fuzzy Clustering
AbstractAn approach for generating an optimal rule base of a fuzzy system is proposed, that relies on ellipsoidal clustering of observable data....
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General Decay Synchronization of Fuzzy Inertial Memristive Neural Networks with Discontinuous Activation Function
This paper studied the general decay synchronization (GDS) of fuzzy inertial memristive neural networks (FIMNNs) with mixed delays and discontinuous...
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Approximation of CIEDE2000 color closeness function using Neuro-Fuzzy networks
The development of efficient algorithms that perform qualitative operations in the processing and segmentation of graphical images requires good...
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Constructing Three-Way Decision of Rough Fuzzy Sets from the Perspective of Uncertainties
From the perspective of human cognition, three-way decision (3WD) explores thinking, problem solving, and information processing in three paradigms....
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Fuzzy Estimation
sThe first thing to do is explain how we will get fuzzy numbers, and fuzzy probabilities, from a set of confidence intervals which will be...
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Fuzzy Least Squares Support Vector Machine with Fuzzy Hyperplane
This study uses fuzzy set theory for least squares support vector machines (LS-SVM) and proposes a novel formulation that is called a fuzzy...
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A fuzzy Bayesian regression model with Gaussian process prior based on exact predictors and fuzzy responses
The purpose of this study is to develop a new fuzzy regression model based on a common Bayesian nonparametric-based method with exact predictors and...
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Direction based method for representing and querying fuzzy regions
Uncertainty management for geometric data is a fundamental issue for spatial databases, image databases, and spatial data systems, such as geographic...
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A generalized fuzzy barycentric Lagrange interpolation method for solving two-dimensional fuzzy fractional Volterra integral equations
In this paper, a generalized fuzzy barycentric Lagrange interpolation method is proposed to solve two-dimensional fuzzy fractional Volterra integral...
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Path-based approximate matching of fuzzy spatiotemporal RDF data
As fuzzy spatiotemporal information continuously increases in RDF database, it is challenging to model and query fuzzy spatiotemporal RDF data...
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Knowledge reduction by combining interval Type-2 Fuzzy similarity measures and interval Type-2 Fuzzy formal lattice
Knowledge and concepts play a crucial role in human language processing. Human behavior varies in different environments, making it difficult to...
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Intuitionistic and Type-2 Fuzzy Logic
We describe in this chapter two new areas in fuzzy logic, type-2 fuzzy logic systems and intuitionistic fuzzy logic. Basically, a type-2 fuzzy set is...
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F-EVM: improving routing in Internet of Things using fuzzy MAIRCA approach and fuzzy eigenvector method
Many devices are connected to each other using Internet of Things (IoT) technology today. The capabilities of this technology have highlighted its...
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TS Fuzzy Model Transformation
The Chapter introduces the TS Fuzzy model transformation. In the related literature the term of the TP model transformation is used very frequently....
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Non-separation Method-Based Global Stability Criteria for Takagi–Sugeno Fuzzy Quaternion-Valued BAM Delayed Neural Networks Using Quaternion-valued Auxiliary Function-Based Integral Inequality
This paper focuses on the global asymptotic stability (GAS) problem for Takagi–Sugeno (T-S) fuzzy quaternion-valued bidirectional associative memory...
