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- W2385062778 abstract "This paper conducts attribute reduction for training set using Rough Set theory,and then obtains the decision tree rules by use of decision tree algorithm.Afterwards,two criteria on rule screening are proposed in accordance with the concept of rule information quantity and rule credibility,and the two criteria are applied to minimal and maximal rules learning method, which forms the Judgemental Minimal and Maximal Rules Learning.The simplification of decision tree rules by this algorithm can narrow the scope of simplification,ensure consistency of coverage of the rules,and reduce the total number of rules." @default.
- W2385062778 created "2016-06-24" @default.
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- W2385062778 date "2009-01-01" @default.
- W2385062778 modified "2023-09-25" @default.
- W2385062778 title "Judgemental Minimal and Maximal Rules Learning and Its Application" @default.
- W2385062778 hasPublicationYear "2009" @default.
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