A method for inference in approximate reasoning based on interval-valued fuzzy sets
Fuzzy Sets and Systems
Variable precision rough set model
Journal of Computer and System Sciences
Extensions and intentions in the rough set theory
Information Sciences: an International Journal
Relational interpretations of neighborhood operators and rough set approximation operators
Information Sciences—Informatics and Computer Science: An International Journal
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Information Sciences—Informatics and Computer Science: An International Journal
Constructive and axiomatic approaches of fuzzy approximation operators
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
A fuzzy soft set theoretic approach to decision making problems
Journal of Computational and Applied Mathematics
Information Sciences: an International Journal
Information Sciences: an International Journal
Combining rough decisions for intelligent text mining using Dempster's rule
Artificial Intelligence Review
Rough set theory for the interval-valued fuzzy information systems
Information Sciences: an International Journal
Applications of soft sets in ideal theory of BCK/BCI-algebras
Information Sciences: an International Journal
Fuzzy rough set theory for the interval-valued fuzzy information systems
Information Sciences: an International Journal
Generalized fuzzy rough approximation operators based on fuzzy coverings
International Journal of Approximate Reasoning
Computers & Mathematics with Applications
The algebraic structures of generalized rough set theory
Information Sciences: an International Journal
Computers & Mathematics with Applications
Relationship between generalized rough sets based on binary relation and covering
Information Sciences: an International Journal
The normal parameter reduction of soft sets and its algorithm
Computers & Mathematics with Applications
Letter to the editor: Comment on "A fuzzy soft set theoretic approach to decision making problems"
Journal of Computational and Applied Mathematics
A comparison of two types of rough sets induced by coverings
International Journal of Approximate Reasoning
Combination of interval-valued fuzzy set and soft set
Computers & Mathematics with Applications
The parameterization reduction of soft sets and its applications
Computers & Mathematics with Applications
Vague soft sets and their properties
Computers & Mathematics with Applications
Fuzzy Sets and Systems
Constructive and algebraic methods of the theory of rough sets
Information Sciences: an International Journal
Intuitionistic fuzzy Hv-submodules
Information Sciences: an International Journal
Computers & Mathematics with Applications
An adjustable approach to fuzzy soft set based decision making
Journal of Computational and Applied Mathematics
Interval-valued intuitionistic fuzzy soft sets and their properties
Computers & Mathematics with Applications
Application of level soft sets in decision making based on interval-valued fuzzy soft sets
Computers & Mathematics with Applications
Information Sciences: an International Journal
Context-aware recommendation using rough set model and collaborative filtering
Artificial Intelligence Review
A note on soft sets, rough soft sets and fuzzy soft sets
Applied Soft Computing
Time series forecasting through rule-based models obtained via rough sets
Artificial Intelligence Review
Tolerance Approximation Spaces
Fundamenta Informaticae
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Recently, the theory and applications of soft set has brought the attention by many scholars in various areas. Especially, the researches of the theory for combining the soft set with the other mathematical theory have been developed by many authors. In this paper, we propose a new concept of soft fuzzy rough set by combining the fuzzy soft set with the traditional fuzzy rough set. The soft fuzzy rough lower and upper approximation operators of any fuzzy subset in the parameter set were defined by the concept of the pseudo fuzzy binary relation (or pseudo fuzzy soft set) established in this paper. Meanwhile, several deformations of the soft fuzzy rough lower and upper approximations are also presented. Furthermore, we also discuss some basic properties of the approximation operators in detail. Subsequently, we give an approach to decision making problem based on soft fuzzy rough set model by analyzing the limitations and advantages in the existing literatures. The decision steps and the algorithm of the decision method were also given. The proposed approach can obtain a object decision result with the data information owned by the decision problem only. Finally, the validity of the decision methods is tested by an applied example.