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Statements

Subject Item
n2:RIV%2F00216275%3A25410%2F08%3A00007269%21RIV09-GA0-25410___
rdf:type
n8:Vysledek skos:Concept
dcterms:description
Příspěvek se zabývá modelováním klasifikátorů založených na bázi fuzzy inferenčních systémů a rough množin. Daný systém vyjadřující míru vnitřní migrace obyvatelstva pracuje s vybranými ekonomickými daty a demografickými indikátory. Ve fázi jejich předzpracování je využito zvolených diskretizačních technik. Fáze tvorby modelu se mimo jiné zabývá návrhem tvarů funkcí příslušnosti a definici báze pravidel. A modelling of classifiers based on fuzzy inference systems and rough sets for a model of an economic and social system is presented in this paper. This system has represented an internal human population migration model by an application of selected socioeconomic data. Economic and demographic indicators that affect size of migration for districts in the Czech Republic are defined. In data pre-processing we focused on different processing of data inputs. It means for all indicators we used selected data discretization techniques. In models creation phase we deal with a new design of membership function shapes and rule base definition. A modelling of classifiers based on fuzzy inference systems and rough sets for a model of an economic and social system is presented in this paper. This system has represented an internal human population migration model by an application of selected socioeconomic data. Economic and demographic indicators that affect size of migration for districts in the Czech Republic are defined. In data pre-processing we focused on different processing of data inputs. It means for all indicators we used selected data discretization techniques. In models creation phase we deal with a new design of membership function shapes and rule base definition.
dcterms:title
Hybrid Approach For Modelling of Internal Human Population Migration Classifiers Hybrid Approach For Modelling of Internal Human Population Migration Classifiers Hybridní přístup k modelování klasifikátoru vnitřní migrace obyvatelstva
skos:prefLabel
Hybrid Approach For Modelling of Internal Human Population Migration Classifiers Hybrid Approach For Modelling of Internal Human Population Migration Classifiers Hybridní přístup k modelování klasifikátoru vnitřní migrace obyvatelstva
skos:notation
RIV/00216275:25410/08:00007269!RIV09-GA0-25410___
n3:aktivita
n14:P
n3:aktivity
P(GA402/08/0849)
n3:dodaniDat
n5:2009
n3:domaciTvurceVysledku
n12:6665284 n12:4032578 n12:7502141
n3:druhVysledku
n6:D
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
370936
n3:idVysledku
RIV/00216275:25410/08:00007269
n3:jazykVysledku
n4:eng
n3:klicovaSlova
Internal human migration; data pre-processing; fuzzy inference system; rough sets theory
n3:klicoveSlovo
n7:fuzzy%20inference%20system n7:rough%20sets%20theory n7:Internal%20human%20migration n7:data%20pre-processing
n3:kontrolniKodProRIV
[B2C5912D9DB8]
n3:mistoKonaniAkce
Palma de Malorca, Spain
n3:mistoVydani
Calgary
n3:nazevZdroje
Proceedings of the Twelfth IASTED International Conference on Artificial Intelligence & Soft Computing
n3:obor
n19:BC
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n18:GA402%2F08%2F0849
n3:rokUplatneniVysledku
n5:2008
n3:tvurceVysledku
Křupka, Jiří Kašparová, Miloslava Jirava, Pavel
n3:typAkce
n20:WRD
n3:zahajeniAkce
2008-09-03+02:00
s:numberOfPages
5
n21:hasPublisher
ACTA Press
n17:isbn
978-0-88986-756-7
n10:organizacniJednotka
25410