A comparative assessment of measures of similarity of fuzzy values
Fuzzy Sets and Systems
Interpretations of belief functions in the theory of rough sets
Information Sciences: an International Journal - From rough sets to soft computing
Rough set approach to incomplete information systems
Information Sciences: an International Journal
Rules in incomplete information systems
Information Sciences: an International Journal
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Fuzzy discretization of feature space for a rough set classifier
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
Boolean Reasoning for Decision Rules Generation
ISMIS '93 Proceedings of the 7th International Symposium on Methodologies for Intelligent Systems
Maximal consistent block technique for rule acquisition in incomplete information systems
Information Sciences: an International Journal
Approaches to knowledge reduction based on variable precision rough set model
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Dominance relation and rules in an incomplete ordered information system
International Journal of Intelligent Systems
Knowledge reduction in random information systems via Dempster-Shafer theory of evidence
Information Sciences: an International Journal
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Pattern Recognition Letters
Learning fuzzy rules from fuzzy samples based on rough set technique
Information Sciences: an International Journal
A discretization method for rough sets theory
Intelligent Data Analysis
Expert Systems with Applications: An International Journal
International Journal of Approximate Reasoning
Dominance-based rough set approach and knowledge reductions in incomplete ordered information system
Information Sciences: an International Journal
Attribute reduction based on evidence theory in incomplete decision systems
Information Sciences: an International Journal
Rough set theory for the interval-valued fuzzy information systems
Information Sciences: an International Journal
A systematic study on attribute reduction with rough sets based on general binary relations
Information Sciences: an International Journal
Fuzzy rough set theory for the interval-valued fuzzy information systems
Information Sciences: an International Journal
Mixed feature selection based on granulation and approximation
Knowledge-Based Systems
On fuzzy approximation operators in attribute reduction with fuzzy rough sets
Information Sciences: an International Journal
Attribute reduction in decision-theoretic rough set models
Information Sciences: an International Journal
Neighborhood rough set based heterogeneous feature subset selection
Information Sciences: an International Journal
Editorial: Probabilistic rough sets: Approximations, decision-makings, and applications
International Journal of Approximate Reasoning
Probabilistic rough set approximations
International Journal of Approximate Reasoning
Information Sciences: an International Journal
Discernibility matrix simplification for constructing attribute reducts
Information Sciences: an International Journal
Axiomatic Fuzzy Set Theory and Its Applications
Axiomatic Fuzzy Set Theory and Its Applications
The investigation of the Bayesian rough set model
International Journal of Approximate Reasoning
Set-valued information systems
Information Sciences: an International Journal
Probabilistic self-organizing maps for qualitative data
Neural Networks
Dynamic discreduction using Rough Sets
Applied Soft Computing
Neighborhood systems-based rough sets in incomplete information system
Knowledge-Based Systems
Core set analysis in inconsistent decision tables
Information Sciences: an International Journal
Knowledge reduction for decision tables with attribute value taxonomies
Knowledge-Based Systems
Multi-level rough set reduction for decision rule mining
Applied Intelligence
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For continuous valued information systems, the attribute values of objects for the same attribute represent not only their ordinal relationship but also their relative distances. Therefore, the classical rough set model is not suitable for deducing attribute reductions and optimal decision rules for continuous valued information systems. Though some discretization methods are proposed to transform the continuous valued information systems into discrete ones, but those methods are too categorical and may lead to loss of information in some cases. To solve such information loss problem, we propose a tolerance rough set model in this paper. With a given level, the proposed model can divide a universe into some maximal tolerance classes. Also two types of lower and upper approximations are defined accordingly. Then the reductions of the maximal tolerance class and optimal decision rules based on the proposed attribute descriptors are defined, and the approximate discernibility function for the maximal tolerance class is constructed and used to compute all the corresponding optimal decision rules via using Boolean reasoning techniques. Finally, the general reductions and consistent reductions for continuous valued information systems are discussed.