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Statements

Subject Item
n2:RIV%2F00216305%3A26510%2F12%3APU100408%21RIV13-MSM-26510___
rdf:type
n11:Vysledek skos:Concept
dcterms:description
The science park (SP) qualitative models are studied in Reznakova et al. (2012). This paper concentrates on unsteady state models and its optimisation. The set of scenarios (see Reznakova et al., 2012) contains all possible time transitions among them as they contain time derivatives. It is therefore possible to generate an oriented graph which has nodes the scenarios and as oriented edges the possible transitions. Qualitative SP models can be therefore used to generate all possible dynamic behaviours i.e., all past time histories and all possible futures. A set of all possible unsteady SP state behaviours is used to support different decision making tasks and solve qualitative optimisation problems. The science park (SP) qualitative models are studied in Reznakova et al. (2012). This paper concentrates on unsteady state models and its optimisation. The set of scenarios (see Reznakova et al., 2012) contains all possible time transitions among them as they contain time derivatives. It is therefore possible to generate an oriented graph which has nodes the scenarios and as oriented edges the possible transitions. Qualitative SP models can be therefore used to generate all possible dynamic behaviours i.e., all past time histories and all possible futures. A set of all possible unsteady SP state behaviours is used to support different decision making tasks and solve qualitative optimisation problems.
dcterms:title
Equationless qualitative models of science parks: part II, optimisation by time sequences of scenarios Equationless qualitative models of science parks: part II, optimisation by time sequences of scenarios
skos:prefLabel
Equationless qualitative models of science parks: part II, optimisation by time sequences of scenarios Equationless qualitative models of science parks: part II, optimisation by time sequences of scenarios
skos:notation
RIV/00216305:26510/12:PU100408!RIV13-MSM-26510___
n11:predkladatel
n13:orjk%3A26510
n4:aktivita
n18:S
n4:aktivity
S
n4:cisloPeriodika
3
n4:dodaniDat
n8:2013
n4:domaciTvurceVysledku
n6:6079342 n6:6838472 n6:2208776
n4:druhVysledku
n15:J
n4:duvernostUdaju
n14:S
n4:entitaPredkladatele
n5:predkladatel
n4:idSjednocenehoVysledku
134634
n4:idVysledku
RIV/00216305:26510/12:PU100408
n4:jazykVysledku
n9:eng
n4:klicovaSlova
,science park, qualitative modelling, complex, scenario, state graph, transition, technology intelligence, planning
n4:klicoveSlovo
n7:technology%20intelligence n7:state%20graph n7:science%20park n7:transition n7:qualitative%20modelling n7:planning n7:complex n7:scenario
n4:kodStatuVydavatele
CH - Švýcarská konfederace
n4:kontrolniKodProRIV
[D812DBC956B9]
n4:nazevZdroje
International Journal of Technology Intelligence and Planning
n4:obor
n16:AE
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
4
n4:rokUplatneniVysledku
n8:2012
n4:svazekPeriodika
8
n4:tvurceVysledku
Dohnal, Mirko Brož, Zdeněk Wouters, Hana Režňáková, Mária
s:issn
1740-2832
s:numberOfPages
9
n17:organizacniJednotka
26510