基于规则的推理（RBR）和基于案例的推理（CBR）则是知识工程中两类实用有效的推理方式。
Rule-based and case-based reasoning are two important efficient reasoning methods in artificial intelligence field.
通过这一系统可以支持对全局概念和各个数据源的建模，并通过有效的推理机制完成对多数据源的集成。
This system allows for suitably modeling the global concepts and the individual information sources. It provides efficient reasoning services for the integration procedures.
并在这个模型的基础上，给出了有效的推理算法，并举例验证其正确性和在燃气轮机专家系统中应用的可行性。
Based on the fuzzy Petri net modal, an efficient fault diagnostic reasoning algorithm is proposed. Its accuracy and feasibility in a gas turbine diagnosis system is verified.
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