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Design of fuzzy knowledge based systems with multi-set confidence models

机译:具有多套信心模型的模糊知识系统设计

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In many application domains, the use of AI has been restrained due to the lack of viable models and tools for dealing with evaluations of uncertainties of domain knowledge. One of the feasible alternatives is based on fuzzy algebras of strict monotonic operations with multisets. Nevertheless the implementation of such a model in knowledge engineering tools is a challenging issue since many traditional approaches do not work for such model. In the paper, the multiset-based model of uncertainty is proposed and associated specifics of the construction and validation of such knowledge-based systems is discussed. The underlying model and engineering tools have been used in applications for petroleum engineering, which illustrate the proposed approach.
机译:在许多应用领域中,由于缺乏可行的型号和工具来处理域知识的不确定性的评估,因此已经抑制了AI的使用。其中一种可行的替代方案是基于具有多项传输的严格单调运算的模糊代数。尽管如此,在知识工程工具中的这种模型的实施是一个具有挑战性的问题,因为许多传统方法不适用于这种模型。在本文中,讨论了讨论了基于多网的不确定性模型,并讨论了这些知识的系统的构造和验证的相关细节。潜在的模型和工程工具已用于石油工程的应用中,说明了所提出的方法。

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