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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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Several L-fuzzy variable precision rough sets and their axiomatic characterizations
Axiomatization is a significant and challenging task in the field of fuzzy variable precision rough sets, where research is currently limited. This...
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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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Variable precision multi-granulation covering rough intuitionistic fuzzy sets
Since the classical Pawlak rough sets model only divides the domain by a single equivalence relation when dealing with uncertain information and...
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A variable precision multigranulation rough set model and attribute reduction
As a useful extension of rough sets, multigranulation rough sets (MGRSs) can be used to deal with a variety of complex data. Numerous significant...
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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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Fuzzy Rough Set Derived Probabilistic Variable Precision-Based Mitigation Technique for Vampire Attack in MANETs
Vampire attacks on mobile nodes are considered as the potential threat since they influence the extent of connectivity maintained between them and...
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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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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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Local fuzzy rough set model over two universes and its reduction
The fuzzy information system over two universes formalizes a data table corresponding to two universes as well as their relations. Although many...
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Dynamic maintenance of variable precision fuzzy neighborhood three-way regions in interval-valued fuzzy decision system
As a typical generalization of classical rough set, variable precision fuzzy neighborhood rough set (VPFNRS) can effectively handle the datasets with...
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Short-Term Electrical Load Forecasting Based on Fuzzy Rough Set Feature Selection and Multi-kernel Extreme Learning Machine
As the complexity of power systems increases, accurate load forecasting becomes crucial. This paper proposes a method for short-term electrical load...
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Vaguely quantified fuzzy dominance rough set and its incremental maintenance approximation approaches
Dominance-based rough set approach (DRSA) is an effective knowledge acquisition tool for ordered data, and to meet the needs of practical...
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Covering-based variable precision L-fuzzy rough sets based on residuated lattices and corresponding applications
There are many extensions of Pawlak’s rough sets. Particularly, fuzzy rough set theory based on residuated lattices is considered as one of the...
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Inclusion degree-based multigranulation rough fuzzy set over heterogeneous preference information and application to multiple attribute group decision making
The knowledge background and preference of decision-makers and interaction among criteria play an important role in actual multiple attribute group...
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Prediction of Heart Disease Using Fuzzy Rough Set Based Instance Selection and Machine Learning Algorithms
In this study, instance selection was made using the fuzzy rough set based instance selection method, which is the main indicator of heart disease...
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A dominance-inferiority-based rough set model and its application to car evaluation
By comparing the attributes of objects one by one, an intuitionistic fuzzy relation, called the dominance-inferiority relation, is presented, and a...
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A Fuzzy Decision-Theoretic Rough Set Approach for Type-2 Fuzzy Conditional Information Systems and Its Application in Decision-Making
The decision-theoretic rough set model based on Bayesian decision theory proposes a framework for studying rough set approximations using...
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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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Double-quantitative multi-granularity kernel fuzzy rough sets model and its application in rheumatoid arthritis risk assessment
The medical big data of combined Chinese and western medicine diagnosis and treatment (CCWMDT) is difficult to be used effectively in clinical...
