A decision-theoretic roguth set model
Methodologies for intelligent systems, 5
Variable precision rough set model
Journal of Computer and System Sciences
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Uncertainly measures of rough set prediction
Artificial Intelligence
Rough set approach to incomplete information systems
Information Sciences: an International Journal
Rules in incomplete information systems
Information Sciences: an International Journal
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Inclusion degree: a perspetive on measures for rough set data analysis
Information Sciences—Informatics and Computer Science: An International Journal
Maximal consistent block technique for rule acquisition in incomplete information systems
Information Sciences: an International Journal
Knowledge Acquisition Based on Rough Set Theory and Principal Component Analysis
IEEE Intelligent Systems
MGRS in Incomplete Information Systems
GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
Editorial: Probabilistic rough sets: Approximations, decision-makings, and applications
International Journal of Approximate Reasoning
Rough intervals---enhancing intervals for qualitative modeling of technical systems
Artificial Intelligence
Three-way decisions with probabilistic rough sets
Information Sciences: an International Journal
MGRS: A multi-granulation rough set
Information Sciences: an International Journal
The investigation of the Bayesian rough set model
International Journal of Approximate Reasoning
Positive approximation: An accelerator for attribute reduction in rough set theory
Artificial Intelligence
Approximation reduction in inconsistent incomplete decision tables
Knowledge-Based Systems
The superiority of three-way decisions in probabilistic rough set models
Information Sciences: an International Journal
Analysis of data-driven parameters in game-theoretic rough sets
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Decision making in incomplete information system based on decision-theoretic rough sets
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
An interval set model for learning rules from incomplete information table
International Journal of Approximate Reasoning
The reduction and fusion of fuzzy covering systems based on the evidence theory
International Journal of Approximate Reasoning
Comparative study of variable precision rough set model and graded rough set model
International Journal of Approximate Reasoning
Dominance-based fuzzy rough set analysis of uncertain and possibilistic data tables
International Journal of Approximate Reasoning
A variable muitlgranulation rough sets approach
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
A generalized multi-granulation rough set approach
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Incomplete Multigranulation Rough Set
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy-Rough Sets Assisted Attribute Selection
IEEE Transactions on Fuzzy Systems
An efficient rough feature selection algorithm with a multi-granulation view
International Journal of Approximate Reasoning
Rough sets attributes reduction based expert system in interlaced video sequences
IEEE Transactions on Consumer Electronics
NMGRS: Neighborhood-based multigranulation rough sets
International Journal of Approximate Reasoning
Fundamenta Informaticae - Advances in Rough Set Theory
On the structure of the multigranulation rough set model
Knowledge-Based Systems
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
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
Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Rule acquisition and complexity reduction in formal decision contexts
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
Feature selection with test cost constraint
International Journal of Approximate Reasoning
On the rough consistency measures of logic theories and approximate reasoning in rough logic
International Journal of Approximate Reasoning
An update logic for information systems
International Journal of Approximate Reasoning
Updating attribute reduction in incomplete decision systems with the variation of attribute set
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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The Bayesian decision-theoretic rough sets propose a framework for studying rough set approximations using probabilistic theory, which can interprete the parameters from existing forms of probabilistic approaches to rough sets. Exploring rough sets in the viewpoint of multigranulation is becoming one of desirable directions in rough set theory, in which lower/upper approximations are approximated by granular structures induced by multiple binary relations. Through combining these two ideas, the objective of this study is to develop a new multigranulation rough set model, called a multigranulation decision-theoretic rough set. Many existing multigranulation rough set models can be derived from the multigranulation decision-theoretic rough set framework.