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First, we classify the objects in continuous domain decision table according to fuzzy clustering; then, combining rough set theory with fuzzy set theory, an attribute reduct algorithm of decision table with continuous attributes is put forward; at last, a rule extraction algorithm is proposed and also the validity of this algorithm is accounted for through an example.
The purpose of this paper is to establish sample classification algorithms in consistent and inconsistent decision tables. First, according to the definition of inclusion degree and the idea of positive region in rough set, we give the definition of set value vector inclusion degree; then, according to the maximum inclusion degree principle, the sample classification algorithms are put forward with...
A novel P2P traffic identification method based on the combination of naive Bayes and decision tables is proposed, which uses Fast Correlation-Based Filter (FCBF) algorithm to extract P2P flow characteristics, and utilises six DTNB (combination of naive Bayes and decision tables) combined with dynamic weighted integration method to set up a P2P flow detection model. Through experimental comparison...
By the combination of feature and concept hierarchy model and the definition of innovation about concept, the method of structured processing and knowledge hierarchical representation for injection mould repair schemes is put forward under the condition of non-fuzzy or fuzzy data. Rule sets can be provided by knowledge induction for injection mould repairs based on basic rough set, but the rule sets...
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