Comparison of the probabilistic approximate classification and the fuzzy set model
Fuzzy Sets and Systems
From rough set theory to evidence theory
Advances in the Dempster-Shafer theory of evidence
Statistical evaluation of rough set dependency analysis
International Journal of Human-Computer Studies
Interpretations of belief functions in the theory of rough sets
Information Sciences: an International Journal - From rough sets to soft computing
Uncertainly measures of rough set prediction
Artificial Intelligence
Modeling vague beliefs using fuzzy-valued belief structures
Fuzzy Sets and Systems - Special issue on fuzzy numbers and uncertainty
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
A Generalized Definition of Rough Approximations Based on Similarity
IEEE Transactions on Knowledge and Data Engineering
Information Sciences—Informatics and Computer Science: An International Journal
Constructive and axiomatic approaches of fuzzy approximation operators
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Probabilistic rough set approximations
International Journal of Approximate Reasoning
Three-way decisions with probabilistic rough sets
Information Sciences: an International Journal
Decision-theoretic rough set models
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
On generalized rough fuzzy approximation operators
Transactions on Rough Sets V
Two Semantic Issues in a Probabilistic Rough Set Model
Fundamenta Informaticae - Advances in Rough Set Theory
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In this paper, we study rough set approximations under fuzzy and random environments. A fuzzy set-valued mapping defines a pair of upper and lower fuzzy rough approximations. Properties of fuzzy approximation operators are examined and the crisp representations of fuzzy approximation operators are presented. A fuzzy random variable from a universe U to a universe W carries a probability measure defined over subsets of U into a system of upper and lower probabilities over subsets of W. The connections between fuzzy approximation spaces and fuzzy belief structures are also established.