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Odločitvena drevesa s popolno uporabo mehkih množicHleb Babič, ŠpelaOdločitvena drevesa kot inteligentno orodje so relativno znan in pogosto uporabljen pristop za pomoč pri odločanju. Primerna so za zajemanje znanja iz velike količine podatkov. Rezultat oz. ... odločitveni model je predstavljen v hierarhični obliki, ki pokaže pomembnost oz. doprinos posameznih atributov h končni odločitvi. Kadar imamo pri gradnji in uporabi odločitvenih dreves opravka z realnimi podatki, so le-ti redkeje diskretni kot numerični. Ker človek pri odločitvah naravneje operira z besedami in opisnimi ocenami kot s številkami, skuša problem opisne predstavitve vrednosti rešiti teorija mehkih množic. Mehki opis nekega atributa predstavlja vektor vrednsoti, ki pove pripadnost atributa podmnožicam možnih vrednosti atributa. S to opredelitvijo uspešno rešujemo probleme mejnih vrednosti, ko lahko ostro določene meje nepravilno vplivajo na končne rezultate. V ta namen smo v Laboratoriju za načrtovanje sistemov razvili orodje za oblikovanje in uporabo mehkih odločitvenih dreves, ki ga bomo uporabljali za gradnjo inteligentnih sistemov za vsakdanjo uporabo, predvsem pa na področju medicine.Source: Zbornik osme Elektrotehniške in računalniške konference ERK '99, 23. - 25. september 1999, Portorož, Slovenija (Zv. B, str. 155-158)Type of material - conference contributionPublish date - 1999Language - slovenianCOBISS.SI-ID - 4850966
Author
Hleb Babič, Špela
Topics
odločitvena drevesa |
sistemi odločanja |
mehke množice |
decision trees |
fuzzy set
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Hleb Babič, Špela | 15327 |
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