Rough sets: probabilistic versus deterministic approach
International Journal of Man-Machine Studies
On the linear programming problems with interval coefficients
Proceedings of the 14th annual conference on Computers and industrial engineering
Comparison of rough-set and interval-set models for uncertain reasoning
Fundamenta Informaticae - Special issue: rough sets
Uncertainly measures of rough set prediction
Artificial Intelligence
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
On Information-Theoretic Measures of Attribute Importance
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
A Generalized Decision Logic in Interval-Set-Valued Information Tables
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Methods and Applications of Interval Analysis (SIAM Studies in Applied and Numerical Mathematics) (Siam Studies in Applied Mathematics, 2.)
International Journal of Approximate Reasoning
Interval ordered information systems
Computers & Mathematics with Applications
Real formal concept analysis based on grey-rough set theory
Knowledge-Based Systems
A new measure of uncertainty based on knowledge granulation for rough sets
Information Sciences: an International Journal
Knowledge structure, knowledge granulation and knowledge distance in a knowledge base
International Journal of Approximate Reasoning
Dominance-based rough set approach to incomplete interval-valued information system
Data & Knowledge Engineering
Information-theoretic measures of uncertainty for rough sets and rough relational databases
Information Sciences: an International Journal
A rough set approach for selecting clustering attribute
Knowledge-Based Systems
Positive approximation: An accelerator for attribute reduction in rough set theory
Artificial Intelligence
Finding key attribute subset in dataset for outlier detection
Knowledge-Based Systems
Test-cost-sensitive attribute reduction
Information Sciences: an International Journal
Approximations and uncertainty measures in incomplete information systems
Information Sciences: an International Journal
Matroidal structure of rough sets and its characterization to attribute reduction
Knowledge-Based Systems
Structure learning for belief rule base expert system: A comparative study
Knowledge-Based Systems
Attribute selection based on a new conditional entropy for incomplete decision systems
Knowledge-Based Systems
Rough matroids based on relations
Information Sciences: an International Journal
Decision rule mining using classification consistency rate
Knowledge-Based Systems
Knowledge acquisition based on learning of maximal structure fuzzy rules
Knowledge-Based Systems
Entropy measures and granularity measures for set-valued information systems
Information Sciences: an International Journal
Rough set approach to incomplete numerical data
Information Sciences: an International Journal
Feature selection with test cost constraint
International Journal of Approximate Reasoning
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Uncertainty measures can supply new points of view for analyzing data and help us to disclose the substantive characteristics of data sets. Some uncertainty measures for single-valued information systems or single-valued decision systems have been developed. However, there are few studies on the uncertainty measurement for interval-valued information systems or interval-valued decision systems. This paper addresses the uncertainty measurement problem in interval-valued decision systems. An extended conditional entropy is proposed in interval-valued decision systems based on possible degree between interval values. Consequently, a concept called rough decision entropy is introduced to evaluate the uncertainty of an interval-valued decision system. Besides, the original approximation accuracy measure proposed by Pawlak is extended to deal with interval-valued decision systems and the concept of interval approximation roughness is presented. Experimental results demonstrate that the rough decision entropy measure and the interval approximation roughness measure are effective and valid for evaluating the uncertainty measurement of interval-valued decision systems. Experimental results also indicate that the rough decision entropy measure outperforms the interval approximation roughness measure.