基于案例推理的产品质量安全风险评估研究

为了建立健全产品质量安全风险管理体系，加强产品质量安全风险预警的要求，同时最大程度地利用过去成功的风险评估案例，构建了基于案例推理的产品质量安全风险评估系统。针对某种产品，根据专家的知识建立风险评估指标体系，并将每个评估指标赋权重，计算与案例库中的各个案例相似度，寻找出最大相似度案例，据此，辅助相关人员对目标案例进行风险分析与评估。     

Knowledge-based Intelligent Decision-making System for the Safety of Rockets

With the progress of science and technology, the astronautics has obtained great development and researched in many countries, the problem on rocket safety control is important during the rocket launching proceeding, and is also the focus of every space country. At first, the importance of rocket safety control is introduced and the characteristics of the existing system for the safety of rockets are analyzed. After indicating its disadvantages, the design idea, system framework and method for realization of the knowledge-based intelligent decision-making system are proposed to improve certainty and authenticity of safety decision, containing correspond knowledge and adopting the technology of intelligent decision and reasoning on AI.     

山西草地螟发生预测模糊近似推理模型

模糊近似推理方法是模糊集理论应用前景十分广泛的一种方法.我们用此法为山西草地螟发生预测建立了一个模糊近似推理模型,初步试用效果满意.本文在模型的预报输出中引用了特征展开近似推理方法,大幅度地简化了运算过程;并且使得模型可以带入较多的因素.     

专家控制技术在设施园艺中的应用

设施园艺环境有多因素、线性大、时间滞后和不确定性的特点。随着现代化控制技术的发展,专家控制技术可以取得较好的控制效果。为此,介绍了专家控制技术的基本概念和其在温室环境控制中的应用,并叙述了知识库、数据库和推理机的设计过程。     

基于实例推理及其在农业病虫害诊断与防治中的应用研究

规则推理等传统推理方法的推理性能严重依赖于知识的完备程度。在农业领域中。知识获取和知识表示已成为推理的主要瓶颈之一，因此利用传统推理方法建立的专家系统效率低、鲁棒性不好。基于案例推理的专家系统能充分利用已有的实例经验，具有自学习功能，从而推理效率高，鲁棒性能较好。本研究将案例推理专家系统应用于作物的病虫害防治和诊断．得出了基于案例推理农业病虫害诊断与防治专家系统的知识表示和推理机制，并在实际应用中获得了较好的效果。     

基于CBR的羊病诊断专家系统分析与研究

鉴于基于规则的专家系统在知识获取上存在的瓶颈问题，分析研究了基于案例推理的羊病诊断专家系统关键问题的设计思想和实现方法。同时，针对羊病症状信息的特点，提出了建立症状索引表描述字符型数据、特征权值反映症状对案例的影响；采用特征向量空间的加权检索算法，提出了症状特征相似性计算方法。采用SQL Server数据库管理和Java语言进行系统实现，并通过实例进行了验证，达到了设计要求，对生产实践具有指导价值。     

An integrated method for matching forest machinery and a weight-value adjustment

Proper matching of forestry machinery is important when raising mechanization levels for forestry production. In the matching process, forestry machinery needs not only expertise, but also improved methods for solving problems. I propose combination of case-based reasoning （CBR） and rule-based reasoning （RBR） by calculating the similarity of quantitative parameters of various forestry machines in an analytical and hierarchical process. I calculated the similarity of machin-ery used in forest industries to enable better selection and matching of equipment. I propose a weight-value adjusting method based on sums of squares of deviations in which the individual parameter weights were modified in the process of application. During the process of system design, I put forward a design method knowledge base and generated a dynamic web reasoning framework to integrate the processes of forest industry machinery selection and weight-value adjustment. This enables expansion of the scope of the complete system and enhancement of the reasoning efficiency. I demonstrate the validity and practicability of this method using a practical example.     

特种车辆柴油发动机故障诊断专家系统推理机设计

针对特种车辆柴油发动机故障诊断专家系统知识表示的模糊特性，建立了故障类型的模糊诊断模型，提出了不精确推理方法和模糊匹配策略，采用柴油发动机故障类型诊断的反向推理和故障原因分析及故障消除措施正向推理相结合的混合推理机制，设计了总体目标推理和级目标推理相结合的推理机．系统现场运行的快速推理结果表明了该推理机设计是成功的．     

基于网络的鸡病防治与诊断专家系统的设计

目前中国鸡病防治中存在一些暂时无法解决的难题,如基层中鸡病诊断专家缺乏、鸡病防控不及时等。基于现状,利用计算机网络技术和人工智能技术,将SQL数据库和ASP.NET技术相结合,设计并开发了基于网络的鸡病防治与诊断专家系统。该系统将鸡病诊断和鸡病防治知识进行集成,采用基于规则的模糊化的混合推理策略,实现了鸡病诊断和防治的数字化和智能化,用户可通过网络实现鸡病诊断、鸡病防治、鸡群管理、知识查询和统计分析等功能。经验证性试验和专家评测,该系统结构合理,功能完善,可以满足广大基层用户的需求,具有一定的推广应用前景。     

Extension association analysis method for product family configuration

A product family extension configuration method based on evaluation model for customer demands, relational mapping and extension association rules is introduced to better realize rapid and effective product configuration. A demand-based evaluation model is confirmed by the information of customer demands and a mapping relationship between demand-based model and characters of product family cases is built. The similarity between evaluation model and product family cases is up to the association rules and a product family case with the highest similarity can be extracted according to association rules. According to the situation of the similarity, the extracted case is modified to meet the demands of configuration with case-based reasoning method. The method is validated by a speed reducer case.