The rough sets theory and evidence theory
Fundamenta Informaticae
From rough set theory to evidence theory
Advances in the Dempster-Shafer theory of evidence
Data mining using extensions of the rough set model
Journal of the American Society for Information Science - Special issue: knowledge discovery and data mining
Interpretations of belief functions in the theory of rough sets
Information Sciences: an International Journal - From rough sets to soft computing
Rough set approach to incomplete information systems
Information Sciences: an International Journal
Rules in incomplete information systems
Information Sciences: an International Journal
Some mathematical structures for computational information
Information Sciences—Applications: An International Journal
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
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
Approaches to knowledge reduction based on variable precision rough set model
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
On knowledge reduction in inconsistent decision information systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Attribute reduction based on evidence theory in incomplete decision systems
Information Sciences: an International Journal
Rough Set Approximations Based on Random Sets
GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
Set-valued ordered information systems
Information Sciences: an International Journal
Three-way decisions with probabilistic rough sets
Information Sciences: an International Journal
On generalized fuzzy belief functions in infinite spaces
IEEE Transactions on Fuzzy Systems
Incomplete information system andits optimal selections
Computers & Mathematics with Applications
Topological solution of missing attribute values problem in incomplete information tables
Information Sciences: an International Journal
Knowledge reduction in random information systems via Dempster-Shafer theory of evidence
Information Sciences: an International Journal
Approximation reduction in inconsistent incomplete decision tables
Knowledge-Based Systems
Approximation Spaces in Rough-Granular Computing
Fundamenta Informaticae - Understanding Computers' Intelligence Celebrating the 100th Volume of Fundamenta Informaticae in Honour of Helena Rasiowa
Set-valued information systems
Information Sciences: an International Journal
Incomplete Multigranulation Rough Set
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
The concept of reducts in pawlak three-step rough set analysis
Transactions on Rough Sets XVI
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Statisticians and database users often encounter the problem of missing or imprecise data obtained by a random experiment. Such a data set is called a random incomplete information table. In this paper, we study knowledge reduction in random incomplete information tables and random incomplete decision tables by using a hybrid model based on the rough set theory and the Dempster-Shafer theory of evidence. The concepts of random belief reducts and random plausibility reducts in random incomplete information tables and random incomplete decision tables are introduced. The relationships among the lower approximation reduct, the upper approximation reduct, the random belief reduct, the random plausibility reduct, and the classical reduct in random incomplete decision tables are examined.