Modeling of reasoning in intelligent systems by means of integration of methods based on case-based reasoning and inductive notions formation

被引：0
|
作者：
Pavlovich, Eremeev Alexander [1 ]
Vladimirovna, Fomina Marina [1 ]
机构：
[1] Natl Res Univ, Dept Appl Math, Moscow Power Engn Inst, Moscow, Russia
来源：
2013 1ST BRICS COUNTRIES CONGRESS ON COMPUTATIONAL INTELLIGENCE AND 11TH BRAZILIAN CONGRESS ON COMPUTATIONAL INTELLIGENCE (BRICS-CCI & CBIC) | 2013年
关键词：
intelligent decision support system; real time; plausible reasoning; modeling; case-based; inductive notion formation; noisy data;
D O I：
10.1109/BRICS-CCI-CBIC.2013.60
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：317 / 322
页数：6
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