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Adaptive intuitionistic fuzzy neighborhood classifier
Due to the diversity and complexity of the actual data distribution, the traditional neighborhood classifier (NEC) is weak in adapting to the global...
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Fundamental properties of fuzzy rough sets based on triangular norms and fuzzy implications: the properties characterized by fuzzy neighborhood and fuzzy topology
Fuzzy rough set models are useful tools for dealing with fuzzy and real-valued data. They have been used in many real-world applications. In this...
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L-fuzzy generalized neighborhood system-based pessimistic L-fuzzy rough sets and its applications
In this paper, a new type of L -fuzzy generalized neighborhood system is introduced and then novel L -fuzzy rough sets based on it are defined and...
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TSFNFS: two-stage-fuzzy-neighborhood feature selection with binary whale optimization algorithm
The optimal global feature subset cannot be found easily due to the high cost, and most swarm intelligence optimization-based feature selection...
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Multigranulation Rough Set Methods and Applications Based on Neighborhood Dominance Relation in Intuitionistic Fuzzy Datasets
With the redundancy and complexity of information and data, how to acquire the samples that meet the requirements is an inevitable task in data...
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Quantale-valued quasi-neighborhood systems: fundamentals and application to L-quasi-topologies, L-quasi-uniformities, and rough approximation operators
In accordance with Rodabaugh’s approach to L -quasi-topology, the aim of this paper is to use the concept of semi-quantales as a theoretical basis to...
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Gray wolf optimization-based self-organizing fuzzy multi-objective evolution algorithm
Two goals of multi-objective evolutionary algorithms are effectively improving their convergence and diversity and making the Pareto set evenly...
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Digital twin-oriented collaborative optimization of fuzzy flexible job shop scheduling under multiple uncertainties
To coordinate the impact of multiple uncertainties on fuzzy flexible job shop scheduling in discrete manufacturing processes, a multi-objective...
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A fuzzy rough copula Bayesian network model for solving complex hospital service quality assessment
Healthcare tends to be one of the most complicated sectors, and hospitals exist at the core of healthcare activities. One of the most significant...
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Affinity-based elastic net intuitionistic fuzzy twin support vector machines
Intuitionistic fuzzy twin support vector machines (IFTWSVM) combined the concept of intuitionistic fuzzy sets with twin support vector machines...
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Fixed Time Adaptive Fuzzy Dynamic Surface Control for Pure Feedback Stochastic Nonlinear Systems
In this paper, an adaptive fuzzy fixed time control strategy based on dynamic surface control (DSC) method is proposed for pure feedback stochastic...
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Local Information-Driven Intuitionistic Fuzzy C-Means Algorithm Integrating Total Bregman Divergence and Kernel Metric for Noisy Image Segmentation
To improve the segmentation performance and anti-noise robustness of existing weighted kernel intuitionistic fuzzy clustering, a robust kernelized...
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Optimum Vehicle Evacuation Plan for Nuclear Emergency Using Fuzzy Credibility Theory and Improved Genetic Algorithm
The occurrence of nuclear accidents is unpredictable and destructive, and it is necessary to develop a reasonable evacuation plan in advance to...
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Approximation results by fuzzy Bernstein type rational functions via interval-valued fuzzy number
In this study, we aim to extend approximation results for Bernstein type rational functions from real function space to fuzzy function space by using...
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Fuzzy rough sets based on modular hemimetrics
In this paper, we introduce a novel notion of modular hemimetrics and use it as the basic structure to define a pair of fuzzy upper and lower...
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An optimization algorithm for the multi-objective flexible fuzzy job shop environment with partial flexibility based on adaptive teaching–learning considering fuzzy processing times
Production scheduling is a critical factor to enhancing productivity in manufacturing engineering and combinatorial optimization research. The...
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Multiple population-based multi-objective evolutionary semi-supervised multi-kernel region fuzzy clustering image segmentation
Multi-objective optimization problems require the simultaneous optimization of more than one objective function. Image segmentation algorithm...
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Genetic Algorithm Optimization with Selection Operator Decider
Genetic Algorithm (GA) is a powerful and flexible meta-heuristic tool to deal with the complexity of optimization problems, as they are directly...
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A novel granular variable precision fuzzy rough set model and its application in fuzzy decision system
The comparable property (or inclusion property) is the basic property of rough set theory. Unfortunately, the well-known granular variable precision...
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