Hierarchy reasoning model inserts uncertainty reasoning method, while it reserves the simplicity of AHP. Thus it presents a more reliable decision scheme.
层次推理模型在保留AHP简单性的同时，加入了不确定性推理方法，从而提供了更为可靠的决策方案。
Directed against this problem this paper put forward the evolutional reasoning model based on grey interrelation theory.
文中针对此问题，基于灰关联理论提出演进式推理模型。
Using uncertain reasoning, a reasoning model and an algorithm are presented, which give the answer to this problem effectively.
本文利用不确定推理中的概率推理方法，设计了购买决策树回溯推理的模型和算法，有效解决了这一问题。
Weld defects classification system based on fuzzy reasoning model was established, after analysis of weld defect features in X-ray films.
分析工业X射线底片焊缝缺陷特征，建立用于焊缝缺陷分类识别的模糊推理系统模型。
Based on the first creation method of new products, the reasoning model of extension nature of matter element is presented in this paper.
以新产品构思的第一创造法为背景，给出了物元可拓性的推理模型。
The setting method of rule confidence was also improved, and it made reasoning model closer to human experts thinking.
同时改进了规则可信度的设定方法，使可信度推理更接近于人类专家思维。
The paper uses fuzzy numbers to represent the weights in the fuzzy reasoning and presents the reasoning model based on fuzzy number-valued fuzzy integral.
本文使用模糊数来表示模糊推理中的权重参数，提出了基于模糊数值模糊积分的模糊推理模型。
In the paper, the models of uncertain reasoning are focused, such as the reasoning model of Bayes probability, Reliability theory, D-S evidence theory and Neural Network.
本文主要涉及的不确定推理模型包括主观贝叶斯的概率推理模型，可信度理论推理模型，证据理论及其改进推理模型以及神经网络推理模型。
This paper summarizes CBD techniques and presents an integrated reasoning model based on CBR and RBR, and also introduces its application to mechanical product cooperative design.
介绍了一种基于实例和规则的集成推理模型，并给出其在机械产品协同设计支持系统中的应用。
By revising a K-NN classification method based on evidence theory, a new K-NN classification method based on evidence reasoning model is got, which made the classification result more accurate.
本文对基于证据理论的k -NN分类方法进行了修正，得到了基于证据推理模型的k - NN分类方法，使分类结果更加精确。
This paper discusses fuzzy measures adopted to deal with uncertainty and analyzes relationships among classes of fuzzy measures, which very much helps understand and select an inexact reasoning model.
本文讨论了在知识工程中用来处理不确定性的各种模糊度量方法，并分析了它们之间的关系。这对于理解以及如何选用一个合适的不精确推理模型是十分有益的。
This paper discusses fuzzy measures adopted to deal with uncertainty and analyzes relationships among classes of fuzzy measures, which very much helps understand and select an inexact reasoning model.
本文讨论了在知识工程中用来处理不确定性的各种模糊度量方法，并分析了它们之间的关系。这对于理解以及如何选用一个合适的不精确推理模型是十分有益的。
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