A decision theoretic framework for approximating concepts
International Journal of Man-Machine Studies
Uncertainly measures of rough set prediction
Artificial Intelligence
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Induction of Classification Rules by Granular Computing
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
An Analysis of Quantitative Measures Associated with Rules
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Decision Rules, Bayes' Rule and Ruogh Sets
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Measures for evaluating the decision performance of a decision table in rough set theory
Information Sciences: an International Journal
Attribute reduction in decision-theoretic rough set models
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
Criteria for choosing a rough set model
Computers & Mathematics with Applications
Decision-theoretic rough set models
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
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
Multiple criteria decision analysis with game-theoretic rough sets
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets
International Journal of Approximate Reasoning
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The game-theoretic rough sets (GTRS) is a recent proposal to determine optimal thresholds in probabilistic rough sets by setting up a game for trading-off between different criteria. Different competitions or cooperations can be formulated depending on objectives of users. In this article, five approaches for applying GTRS are reviewed. The GTRS for formulating competition or cooperation among measures is described. We investigate potential players of GTRS, in the form of measures for evaluating a set of immediate decision rules. The definition and properties of these measures are discussed. We demonstrate that GTRS meet the challenge for determining a balanced and optimal threshold pair that leads to a moderate, cost effective or efficient level of acceptance, rejection or deferment decision by providing a game mechanism.