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
Key concepts in model selection: performance and generalizability
Journal of Mathematical Psychology
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Attribute reduction in decision-theoretic rough set models
Information Sciences: an International Journal
Probabilistic rough set approximations
International Journal of Approximate Reasoning
Probabilistic approach to rough sets
International Journal of Approximate Reasoning
Web-Based Support Systems with Rough Set Analysis
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Brighthouse: an analytic data warehouse for ad-hoc queries
Proceedings of the VLDB Endowment
Rough sets approach to symbolic value partition
International Journal of Approximate Reasoning
A hierarchical model for test-cost-sensitive decision systems
Information Sciences: an International Journal
Supporting E-Learning System with Modified Bayesian Rough Set Model
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Learning Optimal Parameters in Decision-Theoretic Rough Sets
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
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
Rough Cluster Quality Index Based on Decision Theory
IEEE Transactions on Knowledge and Data Engineering
Semi-supervised Rough Cost/Benefit Decisions
Fundamenta Informaticae - Fundamentals of Knowledge Technology
Three-way decisions with probabilistic rough sets
Information Sciences: an International Journal
The investigation of the Bayesian rough set model
International Journal of Approximate Reasoning
Decision-theoretic rough set models
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Game-theoretic risk analysis in decision-theoretic rough sets
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Projection-pursuit approach to robust linear discriminant analysis
Journal of Multivariate Analysis
The superiority of three-way decisions in probabilistic rough set models
Information Sciences: an International Journal
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
International Journal of Approximate Reasoning
A note on attribute reduction in the decision-theoretic rough set model
Transactions on rough sets XIII
Probabilistic model criteria with decision-theoretic rough sets
Information Sciences: an International Journal
Diverse reduct subspaces based co-training for partially labeled data
International Journal of Approximate Reasoning
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
A new discriminant analysis approach under decision-theoretic rough sets
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
A three-way decision approach to email spam filtering
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Transactions on Rough Sets III
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
Two Semantic Issues in a Probabilistic Rough Set Model
Fundamenta Informaticae - Advances in Rough Set Theory
Fundamenta Informaticae - Advances in Rough Set Theory
An information-theoretic interpretation of thresholds in probabilistic rough sets
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Decision-Theoretic rough sets with probabilistic distribution
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Tolerance Approximation Spaces
Fundamenta Informaticae
Modelling Multi-agent Three-way Decisions with Decision-theoretic Rough Sets
Fundamenta Informaticae - Rough Sets and Knowledge Technology (RSKT 2010)
A Multiple-category Classification Approach with Decision-theoretic Rough Sets
Fundamenta Informaticae - Rough Sets and Knowledge Technology (RSKT 2010)
International Journal of Approximate Reasoning
Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets
International Journal of Approximate Reasoning
Multigranulation decision-theoretic rough sets
International Journal of Approximate Reasoning
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
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
On the rough consistency measures of logic theories and approximate reasoning in rough logic
International Journal of Approximate Reasoning
Information Sciences: an International Journal
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Text of abstract Logistic regression analysis is an effective approach to the classification problem. However, it may lead to high misclassification rate in real decision procedures. Decision-Theoretic Rough Sets (DTRS) employs a three-way decision to avoid most direct misclassification. We integrate logistic regression and DTRS to provide a new classification approach. On one hand, DTRS is utilized to systematically calculate the corresponding thresholds with Bayesian decision procedure. On the other hand, logistic regression is employed to compute the conditional probability of the three-way decision. The empirical studies of corporate failure prediction and high school program choices' prediction validate the rationality and effectiveness of the proposed approach.