DocumentCode :
692438
Title :
Modeling of Reasoning in Intelligent Systems by Means of Integration of Methods Based on Case-Based Reasoning and Inductive Notions Formation
Author :
Pavlovich, Eremeev Alexander ; Vladimirovna, Fomina Marina
Author_Institution :
Appl. Math. Dept., Nat. Res. Univ. Moscow Power Eng. Inst., Moscow, Russia
fYear :
2013
fDate :
8-11 Sept. 2013
Firstpage :
317
Lastpage :
322
Abstract :
Modeling of reasoning in intelligent systems on the example of intelligent decision support system of real time by means of integration of methods based on case-based reasoning (accumulated experience) and inductive notion formation in the presence of noisy data are considered.
Keywords :
case-based reasoning; data handling; decision support systems; case-based reasoning; inductive notions formation; intelligent decision support system; intelligent systems; noisy data; Accuracy; Classification algorithms; Cognition; Data models; Decision trees; Noise; Noise level; intelligent decision support system; real time;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on
Conference_Location :
Ipojuca
Type :
conf
DOI :
10.1109/BRICS-CCI-CBIC.2013.60
Filename :
6855869
Link To Document :
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