Publication detail

Methods for Obtaining Minimal Decision Rules from Decision Table

Authors: Jirava Pavel | Křupka Jiří

Year: 2006

Type of publication: článek ve sborníku

Name of source: Proceedings of International Conference on Soft Computing: Mendel 2006

Publisher name: Vysoké učení technické v Brně

Place: Brno

Page from-to: 180-185

Titles:

Language	Name	Abstract	Keywords
cze	Metody získávání minimálních rozhodovacích pravidel z rozhodovací tabulky	V článku se zabýváme možnostmi použití rough sets (hrubých množin) na odvozování rozhodovacích pravidel z rozhodovací tabulky.	Rough Set Theory, Information System, Decision System, Decision Rules, Approximations, Reducts, Attributes
eng	Methods for Obtaining Minimal Decision Rules from Decision Table	In this article we consider the problem of extracting minimal decision rules. Decision rules can be generated directly from decision system, however in this way produced decision rules are often some attribute values unneeded. Unneeded values can be removed with using Rough sets theory, as we can see in this article. Then the final output is a set of minimal decision rules preserving information about the decision	Rough Set Theory, Information System, Decision System, Decision Rules, Approximations, Reducts, Attributes

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