Mechanical proof systems for logic: reaching consensus by groups of intelligent agents
International Journal of Approximate Reasoning
Variable precision rough set model
Journal of Computer and System Sciences
Mechanical proof systems for logic II, consensus programs and their processing
Journal of Intelligent Information Systems
Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Rough computational methods for information systems
Artificial Intelligence
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 approximation quality revisited
Artificial Intelligence
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
Approximation Methods for Knowledge Representation Systems
ISMIS '93 Proceedings of the 7th International Symposium on Methodologies for Intelligent Systems
Rough Logic for Multi-Agent Systems
International Conference Logic at Work on Knowledge Representation and Reasoning Under Uncertainty, Logic at Work
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
Constructive and axiomatic approaches of fuzzy approximation operators
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Approaches to knowledge reduction based on variable precision rough set model
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Knowledge Acquisition Based on Rough Set Theory and Principal Component Analysis
IEEE Intelligent Systems
Granular computing and dual Galois connection
Information Sciences: an International Journal
Measures for evaluating the decision performance of a decision table in rough set theory
Information Sciences: an International Journal
Converse approximation and rule extraction from decision tables in rough set theory
Computers & Mathematics with Applications
On the evaluation of the decision performance of an incomplete decision table
Data & Knowledge Engineering
Consistency measure, inclusion degree and fuzzy measure in decision tables
Fuzzy Sets and Systems
Knowledge structure, knowledge granulation and knowledge distance in a knowledge base
International Journal of Approximate Reasoning
Rough intervals---enhancing intervals for qualitative modeling of technical systems
Artificial Intelligence
The investigation of the Bayesian rough set model
International Journal of Approximate Reasoning
Axiomatic approach of knowledge granulation in information system
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
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
Rough sets attributes reduction based expert system in interlaced video sequences
IEEE Transactions on Consumer Electronics
Classification of dynamics in rough sets
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Probabilistic model criteria with decision-theoretic rough sets
Information Sciences: an International Journal
Covering numbers in covering-based rough sets
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
A generalization of near set model
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Knowledge acquisition in inconsistent multi-scale decision systems
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Continuous monitoring of skylines over uncertain data streams
Information Sciences: an International Journal
Nearness approximation space based on axiomatic fuzzy sets
International Journal of Approximate Reasoning
A comparative study of rough sets for hybrid data
Information Sciences: an International Journal
A parallel method for computing rough set approximations
Information Sciences: an International Journal
A variable muitlgranulation rough sets approach
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Incomplete multigranulation rough sets in incomplete ordered decision system
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
The models of dominance---based multigranulation rough sets
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
A covering-based pessimistic multigranulation rough set
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
Rough set theory applied to lattice theory
Information Sciences: an International Journal
An application of rough sets to graph theory
Information Sciences: an International Journal
Relationships among generalized rough sets in six coverings and pure reflexive neighborhood system
Information Sciences: an International Journal
Neighborhood rough sets for dynamic data mining
International Journal of Intelligent Systems
Formal concept analysis based on fuzzy granularity base for different granulations
Fuzzy Sets and Systems
Information-theoretic measures associated with rough set approximations
Information Sciences: an International Journal
Generalization of Pawlak's rough approximation spaces by using δβ-open sets
International Journal of Approximate Reasoning
NMGRS: Neighborhood-based multigranulation rough sets
International Journal of Approximate Reasoning
Dialectics of counting and the mathematics of vagueness
Transactions on Rough Sets XV
Optimistic multi-granulation fuzzy rough set model based on triangular norm
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Rough set approximations in incomplete multi-scale information systems
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Hybrid: a new multigranulation rough set approach
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
The models of variable precision multigranulation rough sets
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Topological properties of the pessimistic multigranulation rough set model
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Evaluation of the decision performance of the decision rule set from an ordered decision table
Knowledge-Based Systems
On the structure of the multigranulation rough set model
Knowledge-Based Systems
Information Sciences: an International Journal
Computing connected components of simple undirected graphs based on generalized rough sets
Knowledge-Based Systems
Comparison of granular computing models in a set-theoretic framework
BI'12 Proceedings of the 2012 international conference on Brain Informatics
Anonymizing classification data using rough set theory
Knowledge-Based Systems
Information Sciences: an International Journal
Multigranulation rough sets: From partition to covering
Information Sciences: an International Journal
Fast global k-means clustering based on local geometrical information
Information Sciences: an International Journal
Title Natural computing: A problem solving paradigm with granular information processing
Applied Soft Computing
Multigranulation decision-theoretic rough sets
International Journal of Approximate Reasoning
The modeling of time series based on fuzzy information granules
Expert Systems with Applications: An International Journal
Set-based granular computing: A lattice model
International Journal of Approximate Reasoning
Pessimistic rough set based decisions: A multigranulation fusion strategy
Information Sciences: an International Journal
Multi-granulation fuzzy rough sets
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hierarchical description of uncertain information
Information Sciences: an International Journal
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The original rough set model was developed by Pawlak, which is mainly concerned with the approximation of sets described by a single binary relation on the universe. In the view of granular computing, the classical rough set theory is established through a single granulation. This paper extends Pawlak's rough set model to a multi-granulation rough set model (MGRS), where the set approximations are defined by using multi equivalence relations on the universe. A number of important properties of MGRS are obtained. It is shown that some of the properties of Pawlak's rough set theory are special instances of those of MGRS. Moreover, several important measures, such as accuracy measure@a, quality of approximation@c and precision of approximation@p, are presented, which are re-interpreted in terms of a classic measure based on sets, the Marczewski-Steinhaus metric and the inclusion degree measure. A concept of approximation reduct is introduced to describe the smallest attribute subset that preserves the lower approximation and upper approximation of all decision classes in MGRS as well. Finally, we discuss how to extract decision rules using MGRS. Unlike the decision rules (''AND'' rules) from Pawlak's rough set model, the form of decision rules in MGRS is ''OR''. Several pivotal algorithms are also designed, which are helpful for applying this theory to practical issues. The multi-granulation rough set model provides an effective approach for problem solving in the context of multi granulations.