Variable precision rough set model
Journal of Computer and System Sciences
Communications of the ACM
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
&agr;-RST: a generalization of rough set theory
Information Sciences—Informatics and Computer Science: An International Journal
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
The algorithm on knowledge reduction in incomplete information systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Approximation quality for sorting rules
Computational Statistics & Data Analysis
A Generalized Definition of Rough Approximations Based on Similarity
IEEE Transactions on Knowledge and Data Engineering
Data Analysis and Mining in Ordered Information Tables
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Approximate Reducts and Association Rules - Correspondence and Complexity Results
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Maximal consistent block technique for rule acquisition in incomplete information systems
Information Sciences: an International Journal
Case Generation Using Rough Sets with Fuzzy Representation
IEEE Transactions on Knowledge and Data Engineering
Approaches to knowledge reduction based on variable precision rough set model
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Dominance relation and rules in an incomplete ordered information system
International Journal of Intelligent Systems
On knowledge reduction in inconsistent decision information systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A new approach for measuring rule set consistency
Data & Knowledge Engineering
Measures for evaluating the decision performance of a decision table in rough set theory
Information Sciences: an International Journal
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
Interval ordered information systems
Computers & Mathematics with Applications
Knowledge structure, knowledge granulation and knowledge distance in a knowledge base
International Journal of Approximate Reasoning
Set-valued ordered information systems
Information Sciences: an International Journal
Monotonic Variable Consistency Rough Set Approaches
International Journal of Approximate Reasoning
MGRS: A multi-granulation rough set
Information Sciences: an International Journal
Information-theoretic measures of uncertainty for rough sets and rough relational databases
Information Sciences: an International Journal
A comparative study of fuzzy sets and rough sets
Information Sciences: an International Journal
Knowledge reduction in random information systems via Dempster-Shafer theory of evidence
Information Sciences: an International Journal
Positive approximation: An accelerator for attribute reduction in rough set theory
Artificial Intelligence
Neighborhood systems-based rough sets in incomplete information system
Knowledge-Based Systems
Transformation of bipolar fuzzy rough set models
Knowledge-Based Systems
Quality of rough approximation in multi-criteria classification problems
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Characteristic relations for incomplete data: a generalization of the indiscernibility relation
Transactions on Rough Sets IV
Set-valued information systems
Information Sciences: an International Journal
Neighborhood systems and approximate retrieval
Information Sciences: an International Journal
Incomplete Multigranulation Rough Set
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Flexible Indiscernibility Relations for Missing Attribute Values
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2004)
On Decomposition for Incomplete Data
Fundamenta Informaticae
Rough-Set Reasoning About Uncertain Data
Fundamenta Informaticae
Do impression management tactics and/or supervisor-subordinate guanxi matter?
Knowledge-Based Systems
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An ordered decision table is one of the most effective frameworks for the intelligent decision-making systems. As two classical measures, approximation accuracy and quality of approximation can be extended for evaluating the decision performance of an ordered decision table. However, from the viewpoint of evaluating the decision performance of a set of decision rules, these two measures are still not able to well measure the entire certainty and consistency of an ordered decision rule set. To overcome this deficiency, we first present three new measures for evaluating the decision performance of a decision-rule set extracted from an ordered decision table, and then analyze how each of these new measures depends on the condition granulation and the decision granulation of an ordered decision table. Applications and experimental analysis of five types of ordered decision tables show that the three new measures appear to be well suited for evaluating the decision performance of a decision-rule set extracted from each of these five types of decision tables and the results are much better than those of the two extended measures.