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Statements

Subject Item
n2:RIV%2F60460709%3A41110%2F07%3A19988%21RIV08-MSM-41110___
rdf:type
n14:Vysledek skos:Concept
dcterms:description
Across industries and branches, individuals, institutions and states try to take advantage of numerous grant programmes and compete to gain corresponding project funds. In order to achieve the programme objective, selection of the best proposals is vital. Evaluating an R&D project among candidates for funding is one type of vague and ill-structured decision making problems. In this article three fuzzy expert systems (FESs), that are employing fuzzy logic, are proposed to evaluate and select R&D projects. Every FES corresponds to one main criterion of evaluating projects’ proposals. These three criterion and their sub-criteria and factors are mainly guided by the identified evaluation criteria of the EU’s Framework Program (FP). This could bring benefits in organizing a national or interenational competition of research projects as well as in managing institutional research. Across industries and branches, individuals, institutions and states try to take advantage of numerous grant programmes and compete to gain corresponding project funds. In order to achieve the programme objective, selection of the best proposals is vital. Evaluating an R&D project among candidates for funding is one type of vague and ill-structured decision making problems. In this article three fuzzy expert systems (FESs), that are employing fuzzy logic, are proposed to evaluate and select R&D projects. Every FES corresponds to one main criterion of evaluating projects’ proposals. These three criterion and their sub-criteria and factors are mainly guided by the identified evaluation criteria of the EU’s Framework Program (FP). This could bring benefits in organizing a national or interenational competition of research projects as well as in managing institutional research. Across industries and branches, individuals, institutions and states try to take advantage of numerous grant programmes and compete to gain corresponding project funds. In order to achieve the programme objective, selection of the best proposals is vital. Evaluating an R&D project among candidates for funding is one type of vague and ill-structured decision making problems. In this article three fuzzy expert systems (FESs), that are employing fuzzy logic, are proposed to evaluate and select R&D projects. Every FES corresponds to one main criterion of evaluating projects’ proposals. These three criterion and their sub-criteria and factors are mainly guided by the identified evaluation criteria of the EU’s Framework Program (FP). This could bring benefits in organizing a national or interenational competition of research projects as well as in managing institutional research.
dcterms:title
Evaluating Engineering Projects Employing Fuzzy Logic Evaluating Engineering Projects Employing Fuzzy Logic Hodnocení technických projektů s využitím fuzzy logiky
skos:prefLabel
Evaluating Engineering Projects Employing Fuzzy Logic Hodnocení technických projektů s využitím fuzzy logiky Evaluating Engineering Projects Employing Fuzzy Logic
skos:notation
RIV/60460709:41110/07:19988!RIV08-MSM-41110___
n4:strany
1675;1683
n4:aktivita
n21:P
n4:aktivity
P(2C06004), P(GA402/06/1325)
n4:dodaniDat
n20:2008
n4:domaciTvurceVysledku
n6:9173390 Aly, Shady
n4:druhVysledku
n11:D
n4:duvernostUdaju
n18:S
n4:entitaPredkladatele
n8:predkladatel
n4:idSjednocenehoVysledku
420688
n4:idVysledku
RIV/60460709:41110/07:19988
n4:jazykVysledku
n10:eng
n4:klicovaSlova
European Framework Program’s Project Evaluation Criteria, Knowledge-based systems (KBS)/Fuzzy expert system (FES), Analytical Hierarchy Process, Ill-structured Decision Making, Knowledge integration.
n4:klicoveSlovo
n5:Analytical%20Hierarchy%20Process n5:Knowledge-based%20systems%20%28KBS%29%2FFuzzy%20expert%20system%20%28FES%29 n5:Knowledge%20integration. n5:Ill-structured%20Decision%20Making n5:European%20Framework%20Program%E2%80%99s%20Project%20Evaluation%20Criteria
n4:kontrolniKodProRIV
[393FDF5EFB26]
n4:mistoKonaniAkce
Praha
n4:mistoVydani
Praha
n4:nazevEdiceCisloSvazku
Neuvedeno, 0
n4:nazevZdroje
Agrární perspektivy XVI
n4:obor
n13:JD
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n19:GA402%2F06%2F1325 n19:2C06004
n4:rokUplatneniVysledku
n20:2007
n4:tvurceVysledku
Aly, Shady Vrana, Ivan
n4:typAkce
n15:WRD
n4:zahajeniAkce
2007-09-18+02:00
s:numberOfPages
9
n16:hasPublisher
Česká zemědělská univerzita v Praze. Provozně ekonomická fakulta
n9:isbn
978-80-213-1675-1
n17:organizacniJednotka
41110