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  • 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
  • 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 (en)
  • V článku se zabýváme možnostmi použití rough sets (hrubých množin) na odvozování rozhodovacích pravidel z rozhodovací tabulky. (cs)
Title
  • Methods for Obtaining Minimal Decision Rules from Decision Table
  • Methods for Obtaining Minimal Decision Rules from Decision Table (en)
  • Metody získávání minimálních rozhodovacích pravidel z rozhodovací tabulky (cs)
skos:prefLabel
  • Methods for Obtaining Minimal Decision Rules from Decision Table
  • Methods for Obtaining Minimal Decision Rules from Decision Table (en)
  • Metody získávání minimálních rozhodovacích pravidel z rozhodovací tabulky (cs)
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  • RIV/00216275:25410/06:00004816!RIV08-MSM-25410___
http://linked.open.../vavai/riv/strany
  • 180-185
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  • S
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  • 485115
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  • RIV/00216275:25410/06:00004816
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  • Rough Set Theory; Information System; Decision System; Decision Rules; Approximations; Reducts; Attributes (en)
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http://linked.open...ontrolniKodProRIV
  • [5B712020DBD4]
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  • Brno
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  • Brno
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  • Proceedings of International Conference on Soft Computing: Mendel 2006
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  • Jirava, Pavel
  • Křupka, Jiří
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number of pages
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  • Vysoké učení technické v Brně
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  • 80-214-3195-4
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  • 25410
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