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Search and Adaptation in a Fuzzy Object Oriented Case Base

机译:基于模糊对象的案例库中的搜索和自适应

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In this paper we propose to represent a case using an object oriented model that enables the description of imprecise knowledge using possibility distributions. The proposed search process is based on this modeling and a fuzzy similarity measure is defined. The adaptation process is achieved with propagation of domain constraints in a neighborhood of the retrieved case. We propose a method to define this neighborhood. We illustrate our proposition by an example in the field of machining operation configuration.
机译:在本文中,我们建议使用面向对象的模型来表示一个案例,该模型能够使用可能性分布来描述不精确的知识。所提出的搜索过程基于该建模,并定义了模糊相似性度量。自适应过程是通过在检索到的案例的邻域中传播域约束来实现的。我们提出了一种定义该邻域的方法。我们通过加工操作组态领域的示例来说明我们的建议。

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