The uncertainty problem of knowledge is solved by using the forward-backward inference control strategy and the certainty theory.
采用正反向混合推理控制策略及确定性理论来处理知识的不确定性问题。
The paper analyses the characters and shortcoming of the forward inference , backward inference and the mixed inference which are usually used.
分析了目前普遍使用的正向推理、逆向推理、混合推理的特点和不足，根据实际开发经验对此提出了改进，并给出了具体实现方。
A method of hybrid inference based on forward inference and backward inference strategies is achieved in designing extrusion step analysis expert system.
采用正向推理与反向推理相结合的方法，开发了用于挤压工步分析专家系统的混合控制策略。
In implementing of the system, database technique and C-F model are combined to design knowledge base. The uncertainty problem is solved by using the forward-backward inference control strategy.
在系统实现中，采用基于关系型数据库和C -F模型进行知识库的设计，用正反向混合推理控制策略进行不确定性推理。
Inference rules implement forward inferencing, backward chaining, Prolog-style unification or other artificial intelligence (ai) -style rules.
推理规则实现演绎法、归纳法、prolog样式的统一或其他人工智能(artificial intelligence,AI)样式的规则。
Therefore, we design an RDF storage and query framework with flexible inference strategy, which can combine forward and backward chaining inference strategies.
所以，本文设计了一个RDF存储与查询框架，它采用灵活的推理策略，即结合了前向推理和后向推理。
It can infer and solve a design problem by forward-inference, backward-inference or mixed-inference.
它能够适时地进行正向、反向以及正反向混合推理。
The system is a rule-based production system. Inference engine is the core part of expert system. We use forward chaining and backward chaining at the same time.
描述一种诊断型专家系统，它统属于基于规则的产生式系统，推理机是核心部分，分别采用了正向、反向推理技术。
The system is a rule-based production system. Inference engine is the core part of expert system. We use forward chaining and backward chaining at the same time.
描述一种诊断型专家系统，它统属于基于规则的产生式系统，推理机是核心部分，分别采用了正向、反向推理技术。
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