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Covering-based \((\alpha , \beta )\)-multi-granulation bipolar fuzzy rough set model under bipolar fuzzy preference relation with decision-making applications
The rough set (RS) and multi-granulation rough set (MGRS) theories have been successfully extended to accommodate preference analysis by substituting...
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A new MCDM integrating fuzzy rough set and TOPSIS method
In this paper, by integrating the advantages of multi-granulation fuzzy rough set (MGFRS) and variable precision fuzzy rough set (VPFRS), we...
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On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study
Granular Computing is a powerful information processing paradigm, particularly useful for the synthesis of pattern recognition systems in structured...
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A dynamic programming-based data-adaptive information granulation approach and its distributed implementation
AbstractInformation granules are fundamental and effective constructs in human cognitive and decision-making activities. It is unavoidable to...
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Interval-valued prediction of time series based on fuzzy cognitive maps and granular computing
Time series have yielded impressive results in numerical prediction, yet the presence of noise can significantly affect accuracy. Although interval...
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Pessimistic multigranulation rough bipolar fuzzy set and their application in medical diagnosis
Multigranulation rough sets have recently attracted a lot of attention, and numerous multigranulation rough set models have been created from...
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Evolving hyperbox fuzzy modeling
The paper introduces an evolving hyperbox granulation and functional fuzzy rule-based modeling approach within the framework of min–max learning....
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Roughness of linear Diophantine fuzzy sets by intuitionistic fuzzy relations over dual universes with decision-making applications
Rough sets (RSs) and fuzzy sets (FSs) are designed to tackle the uncertainty in the data. By taking into account the control or reference parameters,...
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Multi-Granularity Probabilistic Rough Fuzzy Sets for Interval-Valued Fuzzy Decision Systems
The probabilistic rough set (PRS) model, through the incorporation of error levels, represents a quantitative extension of the classical rough set...
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On Type-1 Granulation and Approximation of Tolerance Based Rough Neutrosophic Sets
In this study, we introduced two new types of granulation of rough neutrosophic set models. We first defined the type-1 of two granulation based on...
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An efficient multi-source information fusion approach for dynamic interval-valued data via fuzzy approximate conditional entropy
Information fusion enables the integration and transformation of complimentary data from different sources, providing a unified representation for...
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Novel rough set models based on hesitant fuzzy information
Granular computing, an attractive branch of artificial intelligence, focuses on constructing, processing and communicating information granules....
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The dynamic fusion representation of multi-source fuzzy data
Data fusion technology plays a pivotal role in aggregating, storing, and mining multi-source data to extract its joint value through the construction...
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A comprehensive survey on scheduling algorithms using fuzzy systems in distributed environments
Task scheduling and resource management are critical for improving system performance and enhancing consumer satisfaction in distributed computing...
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Hybrid similarity relation based mutual information for feature selection in intuitionistic fuzzy rough framework and its applications
Fuzzy rough entropy established in the notion of fuzzy rough set theory, which has been effectively and efficiently applied for feature selection to...
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Three-way decisions in generalized intuitionistic fuzzy environments: survey and challenges
Enhancing decision-making under risks is crucial in various fields, and three-way decision (3WD) methods have been extensively utilized and proven to...
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Estimating Latent Linear Correlations from Fuzzy Frequency Tables
This research concerns the estimation of latent linear or polychoric correlations from fuzzy frequency tables. Fuzzy counts are of particular...
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New MCDM applications using cubic bipolar fuzzy model in medicine and engineering
Nowadays, several fuzzy extensions of the elimination and selection transforming reality (ELECTRE) and The Order Preference by Similarity to Positive...
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Literature review on type-2 fuzzy set theory
Type-2 fuzzy sets possess higher capability of capturing uncertainties than ordinary fuzzy sets due to the presence of secondary membership degree....
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Fuzzy logic for situation awareness: a systematic review
Situation awareness is the cognitive capability of human and artificial agents to perceive, understand and predict the status of the situation in an...
