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Statements

Subject Item
n2:RIV%2F61988987%3A17610%2F10%3AA1100YI7%21RIV11-MSM-17610___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
Fuzzy interpolation property is among the most important properties of fuzzy inference systems. It has been showed that the normality plus Ruspini condition applying to the antecedent fuzzy sets is a sufficient condition with a high practical impact. Another important property is the monotone behavior of the resulting control function (after a defuzzification) derived from a monotone fuzzy rule base. Unfortunately, this goal may be often reached only when applying at least and most modifiers which is in collision with the Ruspini condition. This paper tries to answer the question whether this collision is an unavoidable obstacle for the interpolation property or whether the ``lost'' Ruspini condition does not cause losing the interpolation. Fuzzy interpolation property is among the most important properties of fuzzy inference systems. It has been showed that the normality plus Ruspini condition applying to the antecedent fuzzy sets is a sufficient condition with a high practical impact. Another important property is the monotone behavior of the resulting control function (after a defuzzification) derived from a monotone fuzzy rule base. Unfortunately, this goal may be often reached only when applying at least and most modifiers which is in collision with the Ruspini condition. This paper tries to answer the question whether this collision is an unavoidable obstacle for the interpolation property or whether the ``lost'' Ruspini condition does not cause losing the interpolation.
dcterms:title
Towards fuzzy interpolation with %22at least -- at most%22 fuzzy rule bases Towards fuzzy interpolation with %22at least -- at most%22 fuzzy rule bases
skos:prefLabel
Towards fuzzy interpolation with %22at least -- at most%22 fuzzy rule bases Towards fuzzy interpolation with %22at least -- at most%22 fuzzy rule bases
skos:notation
RIV/61988987:17610/10:A1100YI7!RIV11-MSM-17610___
n3:aktivita
n12:Z n12:P
n3:aktivity
P(IAA108270902), Z(MSM6198898701)
n3:dodaniDat
n11:2011
n3:domaciTvurceVysledku
n18:6800327
n3:druhVysledku
n21:D
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
293133
n3:idVysledku
RIV/61988987:17610/10:A1100YI7
n3:jazykVysledku
n13:eng
n3:klicovaSlova
Fuzzy interpolation; fuzzy realtion equation; at least and at most modifiers; fuzzy inference systems
n3:klicoveSlovo
n9:at%20least%20and%20at%20most%20modifiers n9:Fuzzy%20interpolation n9:fuzzy%20realtion%20equation n9:fuzzy%20inference%20systems
n3:kontrolniKodProRIV
[37C36301301E]
n3:mistoKonaniAkce
Chengdu/Emei, China
n3:mistoVydani
Singapore
n3:nazevZdroje
Computational Intelligence - Foundations and Applications
n3:obor
n22:BA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:projekt
n10:IAA108270902
n3:rokUplatneniVysledku
n11:2010
n3:tvurceVysledku
Štěpnička, Martin
n3:typAkce
n7:WRD
n3:zahajeniAkce
2010-01-01+01:00
n3:zamer
n5:MSM6198898701
s:numberOfPages
7
n17:hasPublisher
World Scientific
n20:isbn
978-981-4324-69-4
n15:organizacniJednotka
17610