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9

RSCTC
2000
Springer

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Application of Normalized Decision Measures to the New Case Classification

13 years 7 months ago

Application of Normalized Decision Measures to the New Case Classification

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The optimization of rough set based classification models with respect to parameterized balance between a model's complexity and confidence is discussed. For this purpose, the notion of a parameterized approximate inconsistent decision reduct is used. Experimental extraction of considered models from real life data is described.

Dominik Slezak, Jakub Wroblewski

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Fuzzy Logic | Inconsistent Decision Reduct | Parameterized Balance | RSCTC 2000 | Set Based Classification |

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Added	25 Aug 2010
Updated	25 Aug 2010
Type	Conference
Year	2000
Where	RSCTC
Authors	Dominik Slezak, Jakub Wroblewski

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