This HTML5 document contains 41 embedded RDF statements represented using HTML+Microdata notation.

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

Namespace Prefixes

PrefixIRI
n19http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n13http://purl.org/net/nknouf/ns/bibtex#
n5http://localhost/temp/predkladatel/
n9http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n14http://linked.opendata.cz/ontology/domain/vavai/
n16https://schema.org/
shttp://schema.org/
n6http://linked.opendata.cz/ontology/domain/vavai/riv/
skoshttp://www.w3.org/2004/02/skos/core#
n10http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F61988987%3A17610%2F10%3AA1300Z9P%21RIV13-MSM-17610___/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n11http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n20http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n18http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n12http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n15http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n7http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F61988987%3A17610%2F10%3AA1300Z9P%21RIV13-MSM-17610___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
In this work we consider a theory described in [2] where the fuzzy interpolation is based on similarity relations. From our observations we can say that the method presented in [2] solves an approximation problem instead of interpolation. We focused on triangular fuzzy sets and tried to understand the principle of fuzzy rule base interpolation. In our approach we propose to rewrite the technique in [2] using metric distances. We present compositions between similarity relations and fuzzy sets and their properties. All steps are demonstrated in their graphical representation. In this work we consider a theory described in [2] where the fuzzy interpolation is based on similarity relations. From our observations we can say that the method presented in [2] solves an approximation problem instead of interpolation. We focused on triangular fuzzy sets and tried to understand the principle of fuzzy rule base interpolation. In our approach we propose to rewrite the technique in [2] using metric distances. We present compositions between similarity relations and fuzzy sets and their properties. All steps are demonstrated in their graphical representation.
dcterms:title
Fuzzy Rule Base Interpolation and its Graphical Representation Fuzzy Rule Base Interpolation and its Graphical Representation
skos:prefLabel
Fuzzy Rule Base Interpolation and its Graphical Representation Fuzzy Rule Base Interpolation and its Graphical Representation
skos:notation
RIV/61988987:17610/10:A1300Z9P!RIV13-MSM-17610___
n6:aktivita
n18:S
n6:aktivity
S
n6:dodaniDat
n7:2013
n6:domaciTvurceVysledku
n9:8820481 n9:2856360 n9:9347453
n6:druhVysledku
n15:D
n6:duvernostUdaju
n20:S
n6:entitaPredkladatele
n10:predkladatel
n6:idSjednocenehoVysledku
260128
n6:idVysledku
RIV/61988987:17610/10:A1300Z9P
n6:jazykVysledku
n12:eng
n6:klicovaSlova
fuzzy interpolation; fuzzy rule
n6:klicoveSlovo
n11:fuzzy%20rule n11:fuzzy%20interpolation
n6:kontrolniKodProRIV
[F9FB5A507EDE]
n6:mistoKonaniAkce
Zittau/Görlitz
n6:mistoVydani
Zittau/Görlitz
n6:nazevZdroje
Proceedings East West Fuzzy Colloquium 2010 / 17th Zittau Fuzzy Colloquim
n6:obor
n17:BA
n6:pocetDomacichTvurcuVysledku
3
n6:pocetTvurcuVysledku
3
n6:rokUplatneniVysledku
n7:2010
n6:tvurceVysledku
WRUBLOVÁ, Michaela Perfiljeva, Irina Hoďáková, Petra
n6:typAkce
n19:WRD
n6:zahajeniAkce
2010-09-15+02:00
s:numberOfPages
6
n13:hasPublisher
Neuveden
n16:isbn
978-3-9812655-4-5
n5:organizacniJednotka
17610