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Statements

Subject Item
n2:RIV%2F47813059%3A19520%2F12%3A%230002142%21RIV13-GA0-19520___
rdf:type
skos:Concept n11:Vysledek
dcterms:description
The objective of multi-criteria decision making is to select the best alternative from a set of feasible alternatives with regard to a given set of criteria. To include dependence and feedback among criteria analytic network process (ANP) was proposed by T. L. Saaty. However, ANP have two disadvantages: firstly, it is difficult to provide correct network structure among criteria even for experts, and different structures lead to different results. Secondly, to form a supermatrix all criteria have to be pair-wise compared with regard to all other criteria, which is difficult and also unnatural. To circumvent these problems criteria network structure in ANP can be modeled with fuzzy cognitive maps. The aim of this article is to propose the hybrid eigenvalue-fuzzy cognitive map method (HEFCM) for the derivation of criteria weights. In the first step of HEFCM initial (local) weights of criteria are determined by Saaty's eigenvalue method. In the second step contribution to criteria ... The objective of multi-criteria decision making is to select the best alternative from a set of feasible alternatives with regard to a given set of criteria. To include dependence and feedback among criteria analytic network process (ANP) was proposed by T. L. Saaty. However, ANP have two disadvantages: firstly, it is difficult to provide correct network structure among criteria even for experts, and different structures lead to different results. Secondly, to form a supermatrix all criteria have to be pair-wise compared with regard to all other criteria, which is difficult and also unnatural. To circumvent these problems criteria network structure in ANP can be modeled with fuzzy cognitive maps. The aim of this article is to propose the hybrid eigenvalue-fuzzy cognitive map method (HEFCM) for the derivation of criteria weights. In the first step of HEFCM initial (local) weights of criteria are determined by Saaty's eigenvalue method. In the second step contribution to criteria ...
dcterms:title
Modeling dependence and feedback in ANP with fuzzy cognitive maps Modeling dependence and feedback in ANP with fuzzy cognitive maps
skos:prefLabel
Modeling dependence and feedback in ANP with fuzzy cognitive maps Modeling dependence and feedback in ANP with fuzzy cognitive maps
skos:notation
RIV/47813059:19520/12:#0002142!RIV13-GA0-19520___
n11:predkladatel
n12:orjk%3A19520
n4:aktivita
n15:P
n4:aktivity
P(GA402/09/0405)
n4:dodaniDat
n7:2013
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n9:9246924 n9:4416430
n4:druhVysledku
n5:D
n4:duvernostUdaju
n17:S
n4:entitaPredkladatele
n22:predkladatel
n4:idSjednocenehoVysledku
150992
n4:idVysledku
RIV/47813059:19520/12:#0002142
n4:jazykVysledku
n10:eng
n4:klicovaSlova
Analytic hierarchy process (AHP), analytic network process (ANP), criteria weights, decision making, fuzzy cognitive maps
n4:klicoveSlovo
n18:decision%20making n18:criteria%20weights n18:fuzzy%20cognitive%20maps n18:Analytic%20hierarchy%20process%20%28AHP%29 n18:analytic%20network%20process%20%28ANP%29
n4:kontrolniKodProRIV
[76894861F50F]
n4:mistoKonaniAkce
Karviná
n4:mistoVydani
Karviná
n4:nazevZdroje
Proceedings of the 30th international conference Mathematical methods in economics 2012
n4:obor
n19:AH
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n16:GA402%2F09%2F0405
n4:rokUplatneniVysledku
n7:2012
n4:tvurceVysledku
Kiszová, Zuzana Mazurek, Jiří
n4:typAkce
n14:WRD
n4:zahajeniAkce
2012-01-01+01:00
s:numberOfPages
6
n21:hasPublisher
Slezská univerzita v Opavě. Obchodně podnikatelská fakulta v Karviné
n8:isbn
978-80-7248-779-0
n20:organizacniJednotka
19520