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Statements

Subject Item
n2:RIV%2F00216275%3A25410%2F07%3A00005403%21RIV08-MSM-25410___
rdf:type
skos:Concept n17:Vysledek
dcterms:description
In this article we consider the problem of extracting minimal decision rules. We assume that the data are presented in the decision table and that some attribute values are lost. Decision rules can be generated directly from decision table, 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. We assume that the data are presented in the decision table and that some attribute values are lost. Decision rules can be generated directly from decision table, 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. V práci je navržen postup generování pravidel z neurčité rozhodovací tabulky. Neúplná/neurčitá data jsou zpracována na základě algoritmu využívajícího teorii rough množin.
dcterms:title
MINIMAL DECISION RULES GENERATED FROM UNCERTAIN DECISION TABLE Minimální rozhodovací pravidla generovaná z neurčité rozhodovací tabulky MINIMAL DECISION RULES GENERATED FROM UNCERTAIN DECISION TABLE
skos:prefLabel
Minimální rozhodovací pravidla generovaná z neurčité rozhodovací tabulky MINIMAL DECISION RULES GENERATED FROM UNCERTAIN DECISION TABLE MINIMAL DECISION RULES GENERATED FROM UNCERTAIN DECISION TABLE
skos:notation
RIV/00216275:25410/07:00005403!RIV08-MSM-25410___
n4:strany
1-10
n4:aktivita
n20:S
n4:aktivity
S
n4:dodaniDat
n12:2008
n4:domaciTvurceVysledku
n13:4032578
n4:druhVysledku
n16:D
n4:duvernostUdaju
n11:S
n4:entitaPredkladatele
n19:predkladatel
n4:idSjednocenehoVysledku
433972
n4:idVysledku
RIV/00216275:25410/07:00005403
n4:jazykVysledku
n15:eng
n4:klicovaSlova
Rough set theory; uncertainty; information system; decision table; decision rules; approximations; attributes; decision classes.
n4:klicoveSlovo
n9:information%20system n9:approximations n9:uncertainty n9:Rough%20set%20theory n9:decision%20classes. n9:decision%20rules n9:decision%20table n9:attributes
n4:kontrolniKodProRIV
[EA97330CD05C]
n4:mistoKonaniAkce
Pardubice
n4:mistoVydani
Pardubice
n4:nazevZdroje
The 7th Annual Ph.D. Conference IMEA 2007 (Conference Paper Abstracts)
n4:obor
n6:IN
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
1
n4:rokUplatneniVysledku
n12:2007
n4:tvurceVysledku
Jirava, Pavel
n4:typAkce
n18:EUR
n4:zahajeniAkce
2007-05-21+02:00
s:numberOfPages
10
n10:hasPublisher
Univerzita Pardubice
n7:isbn
978-80-7194-965-7
n5:organizacniJednotka
25410