This HTML5 document contains 46 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n16http://localhost/temp/predkladatel/
n5http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n13http://linked.opendata.cz/ontology/domain/vavai/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n15http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216275%3A25410%2F07%3A00005447%21RIV08-MSM-25410___/
n7http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n12http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n17http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n14http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n8http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n4http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216275%3A25410%2F07%3A00005447%21RIV08-MSM-25410___
rdf:type
n13:Vysledek skos:Concept
dcterms:description
Článek se zabývá modelováním klasifikátorů na bázi fuzzy inferenčního systému a jeho hierarchické struktury. Jde o model klasifikátoru vnitřní migrace obyvatel. Jsou zde definovány ekonomické a demografické indikátory, které ovlivňují migraci v regionech České republiky. Data jsou předzpracována použitím vybraných shlukovacích a fuzzy shlukovacích metod. Navržený model klasifikátoru migrace byl optimalizován a dosažené výsledky byly porovnány s jinými metodami A modelling of classifiers based on fuzzy inference system and its hierarchical structure for a model of an economic and social system is presented in this paper. This system has represented an internal human population migration model. Economic and demographic indicators that affect size of migration for districts in the Czech Republic are defined. In data pre-processing are used selected cluster and fuzzy cluster methods. A goal of the modelling is to create a migration rate classifier. An optimization of fuzzy inference system classifiers and a realization of the hierarchical structure classifier have been suggested and compared. A modelling of classifiers based on fuzzy inference system and its hierarchical structure for a model of an economic and social system is presented in this paper. This system has represented an internal human population migration model. Economic and demographic indicators that affect size of migration for districts in the Czech Republic are defined. In data pre-processing are used selected cluster and fuzzy cluster methods. A goal of the modelling is to create a migration rate classifier. An optimization of fuzzy inference system classifiers and a realization of the hierarchical structure classifier have been suggested and compared.
dcterms:title
Modelování vnitřní migrace obyvatel pomocí fuzzy inferenčního systému a jeho hierarchické struktury Modelling of Internal Human Population Migration Classifiers by Fuzzy Inference System and Its Hierarchical Structure Modelling of Internal Human Population Migration Classifiers by Fuzzy Inference System and Its Hierarchical Structure
skos:prefLabel
Modelling of Internal Human Population Migration Classifiers by Fuzzy Inference System and Its Hierarchical Structure Modelování vnitřní migrace obyvatel pomocí fuzzy inferenčního systému a jeho hierarchické struktury Modelling of Internal Human Population Migration Classifiers by Fuzzy Inference System and Its Hierarchical Structure
skos:notation
RIV/00216275:25410/07:00005447!RIV08-MSM-25410___
n3:strany
461-467
n3:aktivita
n10:S
n3:aktivity
S
n3:cisloPeriodika
3
n3:dodaniDat
n4:2008
n3:domaciTvurceVysledku
n5:6665284 n5:7502141
n3:druhVysledku
n8:J
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
434411
n3:idVysledku
RIV/00216275:25410/07:00005447
n3:jazykVysledku
n17:eng
n3:klicovaSlova
Crisis management; knowledge; case-based reasoning; uncertainty; soft case-based reasoning; fuzzy logic; rough sets theory
n3:klicoveSlovo
n7:rough%20sets%20theory n7:case-based%20reasoning n7:Crisis%20management n7:uncertainty n7:soft%20case-based%20reasoning n7:knowledge n7:fuzzy%20logic
n3:kodStatuVydavatele
GR - Řecká republika
n3:kontrolniKodProRIV
[C6D50B535661]
n3:nazevZdroje
WSEAS Transactions on Systems
n3:obor
n14:BD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n4:2007
n3:svazekPeriodika
6
n3:tvurceVysledku
Kašparová, Miloslava Křupka, Jiří
s:issn
1109-2777
s:numberOfPages
7
n16:organizacniJednotka
25410