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Domain adaptation framework with ensemble of fuzzy rules-based ELMs for remote-sensing image classification
The domain adaptation (DA) transfer learning technique can accurately classify land cover in remote-sensing (RS) images, even with a small number of...
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Entropy regularized fuzzy nonnegative matrix factorization for data clustering
Clustering high-dimensional data is very challenging due to the curse of dimensionality. To address this problem, low-rank matrix approximations are...
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Type-1 Fuzzy Systems
This chapter explores many aspects of the type-1 fuzzy system that was introduced in Chap. 1 . It provides a very...
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Wearable Sensors-Based Human Activity Recognition with Deep Convolutional Neural Network and Fuzzy Classification
The elderly and disabled often live without direct supervision and rely on remote monitoring for their care. However, current methods for information...
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The unbounded fuzzy norm convergence in fuzzy Banach lattices
This paper aims to define and study unbounded fuzzy norm convergence in fuzzy Banach lattice, closely related to unbounded fuzzy order convergence....
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Robust semi-supervised spatial picture fuzzy clustering with local membership and KL-divergence for image segmentation
Aiming at existing symmetric regularized picture fuzzy clustering with weak robustness, and it is difficult to meet the need for image segmentation...
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Cq-ROFRS: covering q-rung orthopair fuzzy rough sets and its application to multi-attribute decision-making process
Pythagorean fuzzy sets (briefly, PFSs) were created as an upgrade to intuitionistic fuzzy sets (briefly, IFSs) which helped to address some problems...
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Conflict Analysis Triggered by Three-Way Decision and Pythagorean Fuzzy Rough Set
Conflict is ubiquitous in human society and has a profound impact on various fields such as the economy, politics, law, and military. Many scholars...
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Adaptive Interval Type-2 Fuzzy Filter
This chapter presents the introduction of an Adaptive Interval Type-2 Fuzzy Filter. This filter is presented as one of the artificial intelligence...
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A New Fuzzy-Based Color Reflectance Space with Selective Feature Extraction: Face Recognition Under Diversified Illuminations
Effective face recognition becomes challenging when significant facial features diminish due to variations in light energy distribution incident on...
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Fault detection in rotating elements by using fuzzy integrated improved local binary pattern method
An infrared thermography method is a promising tool for defect detection in rotating machines, as this approach is a non-intrusive and no-contact...
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Prescribed fixed-time adaptive fuzzy control for uncertain MIMO nonlinear systems with Preisach operators
For uncertain interconnected MIMO nonlinear systems with Preisach-type hysteresis inputs, the construction of a control strategy such that the...
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Fuzzy Granular Structures of Fuzzy Relation Vectors
Fuzzy granular structure is a mathematical structure to deal with fuzzy information granules. This paper studies fuzzy granular structure of a fuzzy...
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Forecasting the Exchange Rate in Diffuse Time Series by Hybridization of the OWA Operator in an Adaptive ARANFIS Neuronal Network
The key challenges for investor decision-making are mainly centered on the mul-titude of options when making an investment choice when a great deal...
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Asymmetric models of intuitionistic fuzzy rough sets and their applications in decision-making
The variable precision rough set is one of the well-liked extensions of rough sets for misclassification and perturbations. The classical variable...
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Transitive Fuzzy Similarity Multigraph-Based Model for Alternative Clustering in Multi-criteria Group Decision-Making Problems
Graph node clustering methods, which aim to partition graph vertices into several disjoint groups of data with similar features, are usually...
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Single axiomatic characterization of a hesitant fuzzy generalization of rough approximation operators
Hesitant fuzzy set is a natural generalization of the classical fuzzy set. A hesitant fuzzy set on a universe of discourse is in terms of a function...
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Fuzzy Transform on 1-D Manifolds
In this contribution, we establish a connection between a well-known mathematical structure called a manifold and a fuzzy partitioned space. We...
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Fuzzy Rough Sets
Essentially, the motivation of various combinations of fuzzy sets and rough sets is to find alternative formulations for imperfect data and...
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Multivariate Fuzzy Approximation by Neural Network Operators Induced by Several Sigmoid Functions Revisited
Here are researched in terms of multivariate fuzzy complete approximation to the multivariate unit sequences of multivariate fuzzy...