Based on these, a fuzzy reasoning model is put forward.
在此基础上，提出一种模糊推理模型。
AIM: To build a reasoning model for osteoma computer aided diagnostic expert system.
前言：目的：建立骨肿瘤辅助诊断专家系统的推理模型。
Compared with one-order linear model, ARMA model and fuzzy reasoning model, this model has better writing effect.
与一阶线性模型、ARMA模型和模糊推理模型进行比较，结果表明该模型的书写效果较好。
Realization the the imprecise reasoning model based on the Fuzzy reasoning technology and the Certain factors method.
基于模糊推理技术和基于可信度方法实现非精确推理模型的设计。
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。
To support the G-EM, a Case Based Reasoning model reuse method is advanced. Finally, using an efficiency indicator pro…
最后，给出了一个敏捷虚拟企业建模效率模型，并对建模模式和模型重用方法进行了简要的分析和比较。
This paper proposes a new algorithm to boost performance of probabilistic reasoning model(PRM) face recognition methods.
该文就是基于这个思想提出了新的人脸识别算法，即加强概率推理模型。
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。
Analyzing the essential characteristic of the network security situation assessment, and the reasoning model is proposed.
分析了网络安全态势估计问题的本质特征，构造了网络安全态势推理评估的求解模型。
At last, this paper gives the integrated reasoning model of CBR and RBR and put the framework of decision support system.
最后提出了集成案例推理与规则推理的车辆保险决策支持系统并给出了系统框架。
It can be used as a frame to analyze current uncertainty model or research and construct a new uncertainty reasoning model.
该模板模型可作为现有模型的分析模板和新的基于产生式规则的不确定推理模型研究与构造的基本框架模板。
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。
At the same time, the system USES General knowledge reasoning model and Object-Oriented based knowledge part warehouse Expert system structure.
同时系统采用常识推理模型和基于面向对象的知识部件库专家系统结构。
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。
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。
The simplified fuzzy reasoning model with the advantage that the model can output real number directly are frequently applied to the field of the control system.
能够直接输出非模糊值的简化模糊推论已被广泛应用于控制系统。
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。
Considering the using for farmers, the characteristic of this system and it's reliability and accuracy, we adopted the uncertainty reasoning model which included certainty and weight factors.
在推理过程中，为了更好地提高系统的实用性、可靠性和准确性，从农民用户使用角度着想并结合系统本身的特点采用了带有可信度因子加权的不确定性推理方法。
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。
The system is satisfactory to the knowledge representation and the effectiveness of reasoning model and practical requirement, its merits are simple to construct and of high reasoning efficiency.
系统在满足对知识表示和推理模型的有效性和实用性要求下，具有构造简单，推理效率高等优点。
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。
The reasoning is usually based on a discounted-cashflow model; a lower bond yield means a lower discount rate and thus a higher present value for shares.
通常的理由是基于一个折现现金流量模型；较低的债券收益率意味着降低贴现率，从而提高股票的现值。
The diagram below shows all the components of the model with the line marked 'reasoning' representing the slow, serial processing.
下面的图表显示模型中的所有元素，包括标有“reasoning”的线条表示了一个缓慢的，系列性的过程。
It introduces the concrete realization course of the expert system and traverses the inference mechanism based on rule, case, model and hybrid reasoning.
介绍了专家系统的具体实现过程，对基于规则、基于案例、基于模型以及混合推理的推理机制进行了研究。
A dynamic self-learning efficient intrusion detection model was proposed based on inductive reasoning.
提出了一种基于归纳推理的动态自学习的高效入侵检测模型。
Case model based fuzzy reasoning approach is studied.
研究基于实例模型的模糊推理方法。
Case model based fuzzy reasoning approach is studied.
研究基于实例模型的模糊推理方法。
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