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» Decision-Theoretic Rough Set Models
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WSC
1997
13 years 8 months ago
Selecting the Best System: A Decision-Theoretic Approach
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
Stephen E. Chick
RSCTC
2004
Springer
157views Fuzzy Logic» more  RSCTC 2004»
14 years 20 days 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
ISMIS
2000
Springer
13 years 11 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, ...
IEEEICCI
2006
IEEE
14 years 1 months ago
Rough Set Method Based on Multi-Granulations
The original rough set model is concerned primarily with the approximation of sets described by single binary relation on universe. In the view of granular computing, classical ro...
Y. H. Qian, J. Y. Liang
JCIT
2007
126views more  JCIT 2007»
13 years 7 months ago
Rough Petri Net Model (RPNM) For knowledge Representation, Rules Generation and Reasoning
Rough Petri nets model (RPNM) for knowledge representation, rule generation, and reasoning is presented in this paper. An algorithm for verifying the consistency of a rough knowle...
Hala S. Own