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RSKT
2007
Springer
13 years 10 months ago
Decision-Theoretic Rough Set Models
Abstract. Decision-theoretic rough set models are a probabilistic extension of the algebraic rough set model. The required parameters for defining probabilistic lower and upper ap...
Yiyu Yao
ISCI
2006
95views more  ISCI 2006»
13 years 4 months ago
Roughness bounds in rough set operations
This paper presents some roughness bounds for rough set operations. The results show that a bound of the set operation can be determined from their operand's roughnesses. We ...
Yingjie Yang, Robert John
RSCTC
2004
Springer
157views Fuzzy Logic» more  RSCTC 2004»
13 years 9 months ago
Rough Approximations under Level Fuzzy Sets
The combination of fuzzy set and rough set theories lead to various models. Functional and set approaches are two categories based on different fuzzy representations. In this pape...
W.-N. Liu, Jingtao Yao, Yiyu Yao
ICIC
2007
Springer
13 years 10 months ago
Uncertainty Measures of Roughness of Knowledge and Rough Sets in Ordered Information Systems
Rough set theory has been considered as a useful tool to deal with inexact, uncertain, or vague knowledge. However, in real-world, most of information systems are based on dominanc...
Wei-Hua Xu, Hong-zhi Yang, Wen-Xiu Zhang
ISMIS
2000
Springer
13 years 8 months ago
Design of Rough Neurons: Rough Set Foundation and Petri Net Model
This paper introduces the design of rough neurons based on rough sets. Rough neurons instantiate approximate reasoning in assessing knowledge gleaned from input data. Each neuron c...
James F. Peters, Andrzej Skowron, Zbigniew Suraj, ...