Minimal reducts with Grasp

 

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Autoři: Mendez-Gurrola, Iris Iddaly, Laureano-Cruces, Ana Lilia, Ramírez-Rodríguez, Javier
Médium: artículo original
Stav:Versión publicada
Datum vydání:2011
Popis:The proper detection of patient level of dementia is important to offer the suitable treatment. The diagnosis is based on certain criteria, reflected in the clinical examinations. From these examinations emerge the limitations and the degree in which each patient is in. In order to reduce the total of limitations to be evaluated, we used the rough set theory, this theory has been applied in areas of the artificial intelligence such as decision analysis, expert systems, knowledge discovery, classification with multiple attributes. In our case this theory is applied to find the minimal limitations set or reduct that generate the same classification that considering all the limitations, to fulfill this purpose we development an algorithm GRASP (Greedy Randomized Adaptive Search Procedure).
Země:Portal de Revistas UCR
Instituce:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Jazyk:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/2120
On-line přístup:https://revistas.ucr.ac.cr/index.php/matematica/article/view/2120
Klíčové slovo:dementias
rough set
heuristics
data reduction
demencias
conjuntos imprecisos
heurísticas
reducción de datos