A decision-theoretic roguth set model
Methodologies for intelligent systems, 5
Variable precision rough set model
Journal of Computer and System Sciences
Uncertainly measures of rough set prediction
Artificial Intelligence
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
Accuracy and Coverage in Rough Set Rule Induction
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
VPRSM Approach to WEB Searching
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Rough Set Model Selection for Practical Decision Making
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03
Stochastic dominance-based rough set model for ordinal classification
Information Sciences: an International Journal
Parameterized rough set model using rough membership and Bayesian confirmation measures
International Journal of Approximate Reasoning
Probabilistic rough set approximations
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
Criteria for choosing a rough set model
Computers & Mathematics with Applications
Financial time-series analysis with rough sets
Applied Soft Computing
Monotonic Variable Consistency Rough Set Approaches
International Journal of Approximate Reasoning
Learning Optimal Parameters in Decision-Theoretic Rough Sets
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
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
A unifying abstract approach for rough models
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Feature selection with adjustable criteria
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
A game-theoretic approach to competitive learning in self-organizing maps
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Two Semantic Issues in a Probabilistic Rough Set Model
Fundamenta Informaticae - Advances in Rough Set Theory
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Probabilistic model criteria with decision-theoretic rough sets
Information Sciences: an International Journal
Incorporating game theory in feature selection for text categorization
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Analysis of data-driven parameters in game-theoretic rough sets
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Two Semantic Issues in a Probabilistic Rough Set Model
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
Cost-Sensitive classification based on decision-theoretic rough set model
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
Multiple criteria decision analysis with game-theoretic rough sets
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
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)
In Search of Effective Granulization with DTRS for Ternary Classification
International Journal of Cognitive Informatics and Natural Intelligence
Rule measures tradeoff using game-theoretic rough sets
BI'12 Proceedings of the 2012 international conference on Brain Informatics
International Journal of Approximate Reasoning
Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets
International Journal of Approximate Reasoning
Generalized probabilistic approximations of incomplete data
International Journal of Approximate Reasoning
Incorporating logistic regression to decision-theoretic rough sets for classifications
International Journal of Approximate Reasoning
Multigranulation decision-theoretic rough sets
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
Feature selection with test cost constraint
International Journal of Approximate Reasoning
Pessimistic rough set based decisions: A multigranulation fusion strategy
Information Sciences: an International Journal
Information Sciences: an International Journal
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This article investigates the Game-theoretic Rough Set (GTRS) model and its capability of analyzing a major decision problem evident in existing probabilistic rough set models. A major challenge in the application of probabilistic rough set models is their inability to formulate a method of decreasing the size of the boundary region through further explorations of the data. To decrease the size of this region, objects must be moved to either the positive or negative regions. Game theory allows a solution to this decision problem by having the regions compete or cooperate with each other in order to find which is best fit to be selected for the move. There are two approaches discussed in this article. First, the region parameters that define the minimum conditional probabilities for region inclusion can either compete or cooperate in order to increase their size. The second approach is formulated by having classification approximation measures compete against each other. We formulate a learning method using the GTRS model that repeatedly analyzes payoff tables created from approximation measures and modified conditional risk strategies to calculate parameter values.