"Information systems - possibilities of inputting and working out of fuzzy variables"@en . . "10"^^ . . "649087" . . "Neuveden" . . . "Z(MSM 210000006)" . . "21110" . "Information systems - possibilities of inputting and working out of fuzzy variables"@en . . "\u010Cesk\u00E9 vysok\u00E9 u\u010Den\u00ED technick\u00E9 v Praze. Fakulta stavebn\u00ED. Katedra ekonomiky a \u0159\u00EDzen\u00ED ve stavebnictv\u00ED" . . "Pro spr\u00E1vnou funkci informa\u010Dn\u00EDho syst\u00E9mu, kter\u00E1 je jedn\u00EDm ze z\u00E1kladn\u00EDch p\u0159edpoklad\u016F spr\u00E1vn\u00E9ho fungov\u00E1n\u00ED podniku, je zapot\u0159eb\u00ED identifikovat, analyzovat a vyhodnotit vz\u00E1jemn\u00E9 vztahy mezi jednotliv\u00FDmi prvky (\u010D\u00E1stmi) t\u011Bchto syst\u00E9m\u016F. Pro tuto anal\u00FDzu m\u016F\u017Eeme vyu\u017E\u00EDt metody anal\u00FDzy syst\u00E9m\u016F struktury dopln\u011Bn\u00E9 o prvky anal\u00FDzy chov\u00E1n\u00ED, kter\u00E9 vych\u00E1zej\u00ED z princip\u016F teorie graf\u016F. Vzhledem k tomu, \u017Ee ne v\u017Edy je mo\u017En\u00E9 p\u0159esn\u011B kvantifikovat vztahy mezi jednotliv\u00FDmi \u010D\u00E1stmi syst\u00E9mu, je v \u0159ad\u011B p\u0159\u00EDpad\u016F mo\u017En\u00E9 a vhodn\u00E9 vyu\u017E\u00EDt metod a postup\u016F zn\u00E1m\u00FDch z teorie fuzzy mno\u017Ein" . "80-01-02682-5" . "Vok\u00E1lov\u00E1, Jaroslava" . . "70;79" . "fuzzy set; fuzzy variables; graphs theory; information system; method of analysis of systems structure"@en . "Udr\u017Eiteln\u00FD r\u016Fst stavebn\u00EDch kapacit vzhledem k p\u0159\u00EDprav\u011B firem \u010Desk\u00E9 republiky ke vstupu na stavebn\u00ED trh EU" . "Praha" . "Informa\u010Dn\u00ED syst\u00E9my - mo\u017Enosti zad\u00E1v\u00E1n\u00ED a zpracov\u00E1v\u00E1n\u00ED fuzzy prom\u011Bnn\u00FDch" . . "RIV/68407700:21110/02:01079934" . "Informa\u010Dn\u00ED syst\u00E9my - mo\u017Enosti zad\u00E1v\u00E1n\u00ED a zpracov\u00E1v\u00E1n\u00ED fuzzy prom\u011Bnn\u00FDch" . . "0"^^ . . "1"^^ . "For the correct function of information system it is necessary to identify, analyse and evaluate mutual relationships between individual elements (parts) of these systems. For this analysis we can use method of analysis of systems structure complemented with elements of behaviour analysis, which are based on the principles of the graphs theory. We cannot always precisely quantified mutual relationships - links and in many cases the verbal (vague) utterance is more fitting. In these cases it is possible to apply possibilities of analysis, which are based on the fuzzy variables theory. In this contribution we will attempt to explain the basic principles of such evaluated links of information systems."@en . . "RIV/68407700:21110/02:01079934!RIV/2003/MSM/211103/N" . "0"^^ . "Informa\u010Dn\u00ED syst\u00E9my - mo\u017Enosti zad\u00E1v\u00E1n\u00ED a zpracov\u00E1v\u00E1n\u00ED fuzzy prom\u011Bnn\u00FDch"@cs . "1"^^ . "[269B0A658B58]" . . "Informa\u010Dn\u00ED syst\u00E9my - mo\u017Enosti zad\u00E1v\u00E1n\u00ED a zpracov\u00E1v\u00E1n\u00ED fuzzy prom\u011Bnn\u00FDch"@cs . . . .