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ICIC
2007
Springer
13 years 11 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
ACM
1995
13 years 8 months ago
Rough Sets
We study properties of rough sets, that is, approximations to sets of records in a database or, more formally, to subsets of the universe of an information system. A rough set is a...
Zdzislaw Pawlak
AI
1998
Springer
13 years 4 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga
ECSQARU
2001
Springer
13 years 9 months ago
Reasoning about Knowledge Using Rough Sets
Abstract. In this paper, we first investigate set semantics of propositional logic in terms of rough sets and discuss how truth values of propositions (sentences) can be interpret...
Weiru Liu
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, ...