International Journal of Man-Machine Studies
Comparison of the probabilistic approximate classification and the fuzzy set model
Fuzzy Sets and Systems
Rough sets: probabilistic versus deterministic approach
International Journal of Man-Machine Studies
A decision-theoretic roguth set model
Methodologies for intelligent systems, 5
A decision theoretic framework for approximating concepts
International Journal of Man-Machine Studies
Variable precision rough set model
Journal of Computer and System Sciences
Advances in the Dempster-Shafer theory of evidence
Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
Uncertainly measures of rough set prediction
Artificial Intelligence
Information-theoretic measures of uncertainty for rough sets and rough relational databases
Information Sciences: an International Journal
Rough set algorithms in classification problem
Rough set methods and applications
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Uncertainty-Based Information: Elements of Generalized Information Theory
Uncertainty-Based Information: Elements of Generalized Information Theory
Rough set methods in feature selection and recognition
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
Variable Precision Rough Sets with Asymmetric Bounds
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Approaches to knowledge reduction based on variable precision rough set model
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
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
Normalized Decision Functions and Measures for Inconsistent Decision Tables Analysis
Fundamenta Informaticae
A Comparative Study of Algebra Viewpoint and Information Viewpoint in Attribute Reduction
Fundamenta Informaticae
Rough Set Model Selection for Practical Decision Making
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03
A weighted rough set based method developed for class imbalance learning
Information Sciences: an International Journal
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Web-Based Support Systems with Rough Set Analysis
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Decision-theoretic rough set models
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
A general definition of an attribute reduct
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Rough membership and bayesian confirmation measures for parameterized rough sets
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Several approaches to attribute reduction in variable precision rough set model
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Precision of Rough Set Clustering
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Representing lattices using many-valued relations
Information Sciences: an International Journal
Attribute reduction and optimal decision rules acquisition for continuous valued information systems
Information Sciences: an International Journal
Three-Way Decision: An Interpretation of Rules in Rough Set Theory
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
A Multi-View Decision Model Based on Decision-Theoretic Rough Set
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
An Integration of Cloud Transform and Rough Set Theory to Induction of Decision Trees
Fundamenta Informaticae - Fundamentals of Knowledge Technology
Relative reducts in consistent and inconsistent decision tables of the Pawlak rough set model
Information Sciences: an International Journal
Attribute selection with fuzzy decision reducts
Information Sciences: an International Journal
Three-way decisions with probabilistic rough sets
Information Sciences: an International Journal
Selecting discrete and continuous features based on neighborhood decision error minimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications
International Journal of Approximate Reasoning
Fuzzy preference based rough sets
Information Sciences: an International Journal
A Dominance-based Rough Set Approach to customer behavior in the airline market
Information Sciences: an International Journal
Feature Selection via Maximizing Fuzzy Dependency
Fundamenta Informaticae
Reference points and roughness
Information Sciences: an International Journal
Information Sciences: an International Journal
Soft fuzzy rough sets for robust feature evaluation and selection
Information Sciences: an International Journal
Weighted nearest neighbor classification via maximizing classification consistency
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Finding key attribute subset in dataset for outlier detection
Knowledge-Based Systems
The superiority of three-way decisions in probabilistic rough set models
Information Sciences: an International Journal
Research of granularity pair and similar hierarchical algorithm
ICICA'10 Proceedings of the First international conference on Information computing and applications
Qualitative approximations of fuzzy sets and non-classical three-valued logics (I)
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Finding key knowledge attribute subspace of outliers in high-dimensional dataset
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A note on attribute reduction in the decision-theoretic rough set model
Transactions on rough sets XIII
Information Sciences: an International Journal
Diverse reduct subspaces based co-training for partially labeled data
International Journal of Approximate Reasoning
Expert Systems with Applications: An International Journal
Rule learning for classification based on neighborhood covering reduction
Information Sciences: an International Journal
Uncertainty and feature selection in rough set theory
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Optimal sub-reducts with test cost constraint
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Transversal and function matroidal structures of covering-based rough sets
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Attribute reduction in decision-theoretic rough set model: a further investigation
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
A new formulation of multi-category decision-theoretic rough sets
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Multiset topologies induced by multiset relations
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Bayesian rough set model: A further investigation
International Journal of Approximate Reasoning
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Test cost constraint reduction with common cost
FGIT'11 Proceedings of the Third international conference on Future Generation Information Technology
Attribute reduction in decision-theoretic rough set models using genetic algorithm
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
An efficient rough feature selection algorithm with a multi-granulation view
International Journal of Approximate Reasoning
Test-cost-sensitive attribute reduction
Information Sciences: an International Journal
Attribute reduction of data with error ranges and test costs
Information Sciences: an International Journal
An Integration of Cloud Transform and Rough Set Theory to Induction of Decision Trees
Fundamenta Informaticae - Fundamentals of Knowledge Technology
A competition strategy to cost-sensitive decision trees
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Cost-Sensitive classification based on decision-theoretic rough set model
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Multiple criteria decision analysis with game-theoretic rough sets
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
A Multiple-category Classification Approach with Decision-theoretic Rough Sets
Fundamenta Informaticae - Rough Sets and Knowledge Technology (RSKT 2010)
Minimum cost attribute reduction in decision-theoretic rough set models
Information Sciences: an International Journal
Matroidal structure of rough sets and its characterization to attribute reduction
Knowledge-Based Systems
Quantitative analysis for covering-based rough sets through the upper approximation number
Information Sciences: an International Journal
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
A novel and better fitness evaluation for rough set based minimum attribute reduction problem
Information Sciences: an International Journal
Attribute reduction for dynamic data sets
Applied Soft Computing
Attribute reduction: A dimension incremental strategy
Knowledge-Based Systems
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Rule measures tradeoff using game-theoretic rough sets
BI'12 Proceedings of the 2012 international conference on Brain Informatics
Can fuzzy entropies be effective measures for evaluating the roughness of a rough set?
Information Sciences: an International Journal
A multi-objective feature selection approach based on binary PSO and rough set theory
EvoCOP'13 Proceedings of the 13th European conference on Evolutionary Computation in Combinatorial Optimization
An accelerator for attribute reduction based on perspective of objects and attributes
Knowledge-Based Systems
Formal concept analysis based on the topology for attributes of a formal context
Information Sciences: an International Journal
Information Sciences: an International Journal
Core set analysis in inconsistent decision tables
Information Sciences: an International Journal
Quick attribute reduction in inconsistent decision tables
Information Sciences: an International Journal
Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets
International Journal of Approximate Reasoning
Incorporating logistic regression to decision-theoretic rough sets for classifications
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Rule acquisition and complexity reduction in formal decision contexts
International Journal of Approximate Reasoning
Multi-class decision-theoretic rough sets
International Journal of Approximate Reasoning
An extension to Rough c-means clustering based on decision-theoretic Rough Sets model
International Journal of Approximate Reasoning
An axiomatic characterization of probabilistic rough sets
International Journal of Approximate Reasoning
On an optimization representation of decision-theoretic rough set model
International Journal of Approximate Reasoning
An automatic method to determine the number of clusters using decision-theoretic rough set
International Journal of Approximate Reasoning
Feature selection with test cost constraint
International Journal of Approximate Reasoning
Information Sciences: an International Journal
Two machine-learning techniques for mining solutions of the ReleasePlannerTM decision support system
Information Sciences: an International Journal
Knowledge reduction for decision tables with attribute value taxonomies
Knowledge-Based Systems
Nullity-based matroid of rough sets and its application to attribute reduction
Information Sciences: an International Journal
Multi-level rough set reduction for decision rule mining
Applied Intelligence
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Rough set theory can be applied to rule induction. There are two different types of classification rules, positive and boundary rules, leading to different decisions and consequences. They can be distinguished not only from the syntax measures such as confidence, coverage and generality, but also the semantic measures such as decision-monotocity, cost and risk. The classification rules can be evaluated locally for each individual rule, or globally for a set of rules. Both the two types of classification rules can be generated from, and interpreted by, a decision-theoretic model, which is a probabilistic extension of the Pawlak rough set model. As an important concept of rough set theory, an attribute reduct is a subset of attributes that are jointly sufficient and individually necessary for preserving a particular property of the given information table. This paper addresses attribute reduction in decision-theoretic rough set models regarding different classification properties, such as: decision-monotocity, confidence, coverage, generality and cost. It is important to note that many of these properties can be truthfully reflected by a single measure @c in the Pawlak rough set model. On the other hand, they need to be considered separately in probabilistic models. A straightforward extension of the @c measure is unable to evaluate these properties. This study provides a new insight into the problem of attribute reduction.