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
&agr;-RST: a generalization of rough set theory
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
Rough sets and intelligent data analysis
Information Sciences—Informatics and Computer Science: 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
Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough-Based Approaches
IEEE Transactions on Knowledge and Data Engineering
Feature selection based on rough sets and particle swarm optimization
Pattern Recognition Letters
Attribute reduction based on evidence theory in incomplete decision systems
Information Sciences: an International Journal
A Ten-year Review of Granular Computing
GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
A systematic study on attribute reduction with rough sets based on general binary relations
Information Sciences: an International Journal
An efficient ant colony optimization approach to attribute reduction in rough set theory
Pattern Recognition Letters
Attribute reduction in decision-theoretic rough set models
Information Sciences: an International Journal
Probabilistic rough set approximations
International Journal of Approximate Reasoning
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
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
Relative reducts in consistent and inconsistent decision tables of the Pawlak rough set model
Information Sciences: an International Journal
The foundations of cost-sensitive learning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Three-way decisions with probabilistic rough sets
Information Sciences: an International Journal
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
The investigation of the Bayesian rough set model
International Journal of Approximate Reasoning
Consistency based attribute reduction
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
The superiority of three-way decisions in probabilistic rough set models
Information Sciences: an International Journal
Probabilistic model criteria with decision-theoretic rough sets
Information Sciences: an International Journal
An optimization viewpoint of decision-theoretic rough set model
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
On reduct construction algorithms
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
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
A Comparative Study of Algebra Viewpoint and Information Viewpoint in Attribute Reduction
Fundamenta Informaticae
On an optimization representation of decision-theoretic rough set model
International Journal of Approximate Reasoning
Information Sciences: an International Journal
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In classical rough set models, attribute reduction generally keeps the positive or non-negative regions unchanged, as these regions do not decrease with the addition of attributes. However, the monotonicity property in decision-theoretic rough set models does not hold. This is partly due to the fact that all regions are determined according to the Bayesian decision procedure. Consequently, it is difficult to evaluate and interpret region-preservation attribute reduction in decision-theoretic rough set models. This paper provides a new definition of attribute reduct for decision-theoretic rough set models. The new attribute reduction is formulated as an optimization problem. The objective is to minimize the cost of decisions. Theoretical analysis shows the meaning of the optimization problem. Both the problem definition and the objective function have good interpretation. A heuristic approach, a genetic approach and a simulated annealing approach to the new problem are proposed. Experimental results on several data sets indicate the efficiency of these approaches.