Modeling of Reasoning in Intelligent Systems by Means of Integration of Methods Based on Case-Based Reasoning and Inductive Notions Formation

Eremeev Alexander Pavlovich, Fomina Marina Vladimirovna
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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.
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基于案例推理和归纳概念形成方法集成的智能系统推理建模
以实时智能决策支持系统为例,将基于案例推理(积累经验)的方法与存在噪声数据的归纳概念形成方法相结合,研究了智能系统中的推理建模。
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