"Evaluating Engineering Projects Employing Fuzzy Logic"@en . . "Hodnocen\u00ED technick\u00FDch projekt\u016F s vyu\u017Eit\u00EDm fuzzy logiky"@cs . . "420688" . . "2"^^ . "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\u2019 proposals. These three criterion and their sub-criteria and factors are mainly guided by the identified evaluation criteria of the EU\u2019s Framework Program (FP). This could bring benefits in organizing a national or interenational competition of research projects as well as in managing institutional research."@cs . . "978-80-213-1675-1" . "2"^^ . "Praha" . . . "Praha" . "Neuvedeno, 0" . . . "P(2C06004), P(GA402/06/1325)" . "9"^^ . . "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\u2019 proposals. These three criterion and their sub-criteria and factors are mainly guided by the identified evaluation criteria of the EU\u2019s Framework Program (FP). This could bring benefits in organizing a national or interenational competition of research projects as well as in managing institutional research."@en . "Aly, Shady" . "RIV/60460709:41110/07:19988" . "Evaluating Engineering Projects Employing Fuzzy Logic"@en . "Evaluating Engineering Projects Employing Fuzzy Logic" . . "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\u2019 proposals. These three criterion and their sub-criteria and factors are mainly guided by the identified evaluation criteria of the EU\u2019s Framework Program (FP). This could bring benefits in organizing a national or interenational competition of research projects as well as in managing institutional research." . . "Aly, Shady" . . . "\u010Cesk\u00E1 zem\u011Bd\u011Blsk\u00E1 univerzita v Praze. Provozn\u011B ekonomick\u00E1 fakulta" . "RIV/60460709:41110/07:19988!RIV08-MSM-41110___" . "2007-09-18+02:00"^^ . "European Framework Program\u2019s Project Evaluation Criteria, Knowledge-based systems (KBS)/Fuzzy expert system (FES), Analytical Hierarchy Process, Ill-structured Decision Making, Knowledge integration."@en . "41110" . "[393FDF5EFB26]" . . "Vrana, Ivan" . "Evaluating Engineering Projects Employing Fuzzy Logic" . . . . "Agr\u00E1rn\u00ED perspektivy XVI" . "Hodnocen\u00ED technick\u00FDch projekt\u016F s vyu\u017Eit\u00EDm fuzzy logiky"@cs . "1675;1683" . . .