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1·Finally examples are used to interpret the new method of approximate reasoning.

最后，用实例说明了这种近似推理的推理过程。

2·A new weighted approximate reasoning method using similarity measures is presented.

在此基础上提出了一种新的基于相似度量的加权近似推理方法。

3·We research approximate reasoning method based on above method of similarity measure.

同时进行了基于这种相似度量方法的近似推理研究。

4·Thus the three different types of approximate reasoning patterns are equivalent to each other.

证明了模式i与模式III也是等价的，从而得出三种近似推理模式是等价关系。

5·The main issues addressed are uncertain knowledge representation and approximate reasoning based on fuzzy set theory.

本文主要探讨了基于模糊集合理论的不确定知识表示和近似推理方法。

6·And the robustness of DHAM was derived using probability and statistic method, with some approximate reasoning using.

运用概论统计的方法推导出了运行于同步方式下D H A M 的鲁棒性，推导中对结果进行了近似处理。

7·This dissertation begins with the research of similarity degree, then pseudo-metric and approximate reasoning in propositional logic system are studied.

本文从命题逻辑公式的相似度入手，研究命题逻辑公式集上的伪距离和近似推理。

8·Current similarity based approximate reasoning methods (SBARs) have various views on similarity relations and neglect the effect of dissimilarity relations.

目前基于相似关系的近似推理方法(SBAR)对相似关系的理解并不一致，在推理过程中未能考虑相异关系的影响。

9·When fuzzy production rules are used in approximate reasoning, there are interaction influences on rules that have the same consequent but different antecedent.

当模糊产生式规则应用在近似推理过程中时，前件相同而后件不同的模糊规则之间往往存在交互影响。

10·PTES is written in Prolog and extends Prolog's knowledge processing, capabilities by supporting rule - based knowledge representation and approximate reasoning.

PTES是用PROLOG编写的，该系统根据支持基于规则的知识表示及近似推理对PROLOG的知识处理能力进行了扩充。