Twofold fuzzy sets and rough sets—Some issues in knowledge representation
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Uncertainly measures of rough set prediction
Artificial Intelligence
Axiomatics for fuzzy rough sets
Fuzzy Sets and Systems
A comparative study of fuzzy rough sets
Fuzzy Sets and Systems
Data Analysis and Mining in Ordered Information Tables
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Dominance-Based Rough Set Approach Using Possibility and Necessity Measures
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Information Sciences—Informatics and Computer Science: An International Journal
An axiomatic characterization of a fuzzy generalization of rough sets
Information Sciences—Informatics and Computer Science: An International Journal
Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model
Information Sciences: an International Journal - Special issue: Medical expert systems
Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough-Based Approaches
IEEE Transactions on Knowledge and Data Engineering
Rough sets and ordinal reducts
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Combining Feature Reduction and Case Selection in Building CBR Classifiers
IEEE Transactions on Knowledge and Data Engineering
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Pattern Recognition Letters
Fuzzy rough sets hybrid scheme for breast cancer detection
Image and Vision Computing
A novel approach to fuzzy rough sets based on a fuzzy covering
Information Sciences: an International Journal
Information Sciences: an International Journal
Measures for evaluating the decision performance of a decision table in rough set theory
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
International Journal of Approximate Reasoning
Attribute reduction based on evidence theory in incomplete decision systems
Information Sciences: an International Journal
FRCT: fuzzy-rough classification trees
Pattern Analysis & Applications
Converse approximation and rule extraction from decision tables in rough set theory
Computers & Mathematics with Applications
Is there a need for fuzzy logic?
Information Sciences: an International Journal
Generalized fuzzy rough approximation operators based on fuzzy coverings
International Journal of Approximate Reasoning
Attribute reduction in decision-theoretic rough set models
Information Sciences: an International Journal
Interval ordered information systems
Computers & Mathematics with Applications
Ordinal and probabilistic representations of acceptance
Journal of Artificial Intelligence Research
Knowledge reduction in random information systems via Dempster-Shafer theory of evidence
Information Sciences: an International Journal
Rough fuzzy set based scale space transforms and their use in image analysis
International Journal of Approximate Reasoning
Reducing the Memory Size of a Fuzzy Case-Based Reasoning System Applying Rough Set Techniques
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On the generalization of fuzzy rough sets
IEEE Transactions on Fuzzy Systems
Fuzzy-Rough Sets Assisted Attribute Selection
IEEE Transactions on Fuzzy Systems
A View of Averaging Aggregation Operators
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
Application of fuzzy preference based rough set model to condition monitoring
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Systemic approach to fuzzy logic formalization for approximate reasoning
Information Sciences: an International Journal
Rule learning for classification based on neighborhood covering reduction
Information Sciences: an International Journal
Dominance-based fuzzy rough set analysis of uncertain and possibilistic data tables
International Journal of Approximate Reasoning
Review: Hybrid expert systems: A survey of current approaches and applications
Expert Systems with Applications: An International Journal
A class of rough multiple objective programming and its application to solid transportation problem
Information Sciences: an International Journal
A two-grade approach to ranking interval data
Knowledge-Based Systems
Fuzzy logic-based generalized decision theory with imperfect information
Information Sciences: an International Journal
Information Sciences: an International Journal
Benchmarking data mining methods in CAT
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Large-margin feature selection for monotonic classification
Knowledge-Based Systems
Rough set theory applied to lattice theory
Information Sciences: an International Journal
An application of rough sets to graph theory
Information Sciences: an International Journal
Information-theoretic measures associated with rough set approximations
Information Sciences: an International Journal
Information granularity and granular structure in decision making
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
On interval type-2 rough fuzzy sets
Knowledge-Based Systems
Information Sciences: an International Journal
Menger's theorem for fuzzy graphs
Information Sciences: an International Journal
Computing connected components of simple undirected graphs based on generalized rough sets
Knowledge-Based Systems
An improved algorithm for calculating fuzzy attribute reducts
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.07 |
Preference analysis is an important task in multi-criteria decision making. The rough set theory has been successfully extended to deal with preference analysis by replacing equivalence relations with dominance relations. The existing studies involving preference relations cannot capture the uncertainty presented in numerical and fuzzy criteria. In this paper, we introduce a method to extract fuzzy preference relations from samples characterized by numerical criteria. Fuzzy preference relations are incorporated into a fuzzy rough set model, which leads to a fuzzy preference based rough set model. The measure of attribute dependency of the Pawlak's rough set model is generalized to compute the relevance between criteria and decisions. The definitions of upward dependency, downward dependency and global dependency are introduced. Algorithms for computing attribute dependency and reducts are proposed and experimentally evaluated by using two publicly available data sets.