近来人工智能成为人们研究的热点，基于案例推理技术也越来越受到人们的重视。
Resently, artificial intelligence is the hot research area, and people pay much attention to case-based reasoning.
从基于案例推理技术的理论出发，采用物元的知识表示方法，定义了物元可拓与或网。
This paper, using the casebased reasoning techniques, adopts a methodology of extension information representation. And matter element extension information AND/OR nets is defined.
为了分析和识别这些风险，建立了基于案例推理技术的上市公司高管人事风险预警，研究了其中的关键技术。
In order to analyse and discern these risks, this paper sets up the pre-warning of personnel risk in listed company based on case-based reasoning, and studied the key technology of it.
提出了一种基于案例推理的物流外包风险预警管理系统，研究了系统的关键技术及其应用框架，为物流外包的风险预警提供了一种新的思路。
The paper puts forward a Business Logistics Outsourcing Risk Alarming Management System based on case reasoning, studies the key technologies of the system and its application.
基于案例推理(CBR)技术具有灵活的推理方式、高效智能的推理机制，使之成为专家系统中新型的重要的推理手段之一。
Case Based reasoning (CBR) has become one of the novel important reasoning ways because of its flexible approaches of reasoning, high efficient and intelligent reasoning mechanism and so on.
介绍了基于案例推理的数据挖掘技术及其实现方法，以此为依据建立体检信息分析的数据挖掘模型。
Introduced the case-based reasoning of data mining technique and the realized method, took this as the basis to build up the data mining model of the body detection information analysis system.
通过分析法律案例的特征，利用案例推理的方法，结合计算机的检索技术，实现了一个基于推理的法律咨询系统。
This article carries out one law consultation system by the analyzing the character of law case, the utilizing method of case inference, the combining searches technology of computer.
研究了基于案例推理的通信对抗指挥智能决策支持系统开发技术。
Developing technology of IDSS for commanding communication countermeasures based on CBR was studied.
案例检索是基于案例推理(CBR)系统中的关键技术，也是实现智能挖掘系统的关键环节。
Case retrieval is the key technique in CBR, and it is also the most important step in realizing artificial mining system.
文章提出了毛纺织工艺设计智能化模型，通过基于案例(CBR)和基于规则的推理(rbr)以及人工神经网络(ANN)等关键技术的引入，提高了系统解决实际问题的能力。
This paper presents the wool textile process intelligent design model (WTPIDM), by the introduction of CBR, RBR, ANN technologies, improving the system capability to solve the problems.
为解决自动信任协商过程中 协商策略的效率问题，提出了一种采用基于 案例 推理技术的自动信任 协商策略。
To solve the problem of efficiency of negotiation strategies in the process of automated trust negotiation(ATN). A negotiation strategy based on Case-Based Reasoning(CBR)was presented.
提出了基于知识的毛纺产品工艺设计智能模型，通过基于案例（C BR）和基于规则的推理（RBR）以及人工神经网络（ANN）等关键技术的引入，提高了系统解决实际问题的能力。
This paper presents the wool textile process intelligent design model(WTPIDM), by the introduction of CBR, RBR, ANN technologies, improving the system capability to solve the problems.
通过此模型使用基于动态数据流挖掘的案例推理技术，对数据进行实时挖掘，产生连续、动态的临时案例库，实现知识库的实时更新，从而满足实际问题变化的需要。
Through this model the system can mine real-time datum, produce continuous, dynamic temporary cases, update the knowledge base in real time and meet the needs of the practical problems.
通过此模型使用基于动态数据流挖掘的案例推理技术，对数据进行实时挖掘，产生连续、动态的临时案例库，实现知识库的实时更新，从而满足实际问题变化的需要。
Through this model the system can mine real-time datum, produce continuous, dynamic temporary cases, update the knowledge base in real time and meet the needs of the practical problems.
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