市场营销学讲授法多样化探索

讲授法是市场营销学教学方法中的主导方法,是有效运用其他教学方法的基础。讲授法有利于在约束条件下更好地完成教学任务实现教学目标,传授多于教材的丰富知识,把＂教书＂和＂育人＂二者有效结合。根据市场营销学的学科内容和特点,探索顾名思义、延伸、举例、对比、推理分析多样化的讲授法,使其更有生机和活力,提高教学效果。     

Disassembly Process Planning of Products Based on Matrix Operation

Based on fuzzy Petri nets, a fuzzy reasoning Petri nets (FRPN) model is defined. And then, combining fuzzy Petri nets with matrix operation, an algorithm of formalized fuzzy reasoning process is proposed. Based on the fuzziness and uncertainness of the knowledge in the disassembly process of products, a decision making model in disassembly process is established. Furthermore, taking realistic disassembly as an example, an algorithm of decision-making in disassembly sequence is discussed. The result shows that the model of decision-making has strong parallel operation ability in the disassembly process sequence. It also can make intelligent decisions based on the product information originating from each disassembly step.     

Optimization Method Based on Analogizing and Correcting

To explore and descibe the similar situation and analogous thinking, this paper defines two kinds of decision patterns, discusses the similar measures of the state and relation of these patterns and defines the concept and the measure of similar decision model.A mechanism to correct the analogical value is presented and an optimization method based on analogizing and correcting is developed.     

产品多学科协同设计中基于语义推理的动态协调方法

一致性维护和协调是协同设计中的关键问题,针对产品多学科协同设计的多视图性和动态性的特点,引入了一种动态协调原理和方法,其主要思想是当某学科设计者在协同设计过程中根据需求在其学科视图模型中动态增删组件后,通过基于组件功能语义的推理机制,其他学科自动响应,进行各自学科视图模型的更新操作,从而实现多学科视图模型间的动态协调.采用JSP+ JavaBean+ Drools+ Ajax及相关技术开发了一个原型系统,并以减速器设计为例进行了分析与说明.     

猪病本体的构建及SWRL推理研究

针对猪病知识特点,采用OWL DL语言构建猪病本体,利用SWRL规则语言的表达能力,定义猪病推理规则,并给出了几种可实现的推理功能,借助Jess推理引擎实现了猪病知识诊断推理。结果表明,将SWRL规则引入猪病本体中,为建立高智能、可共享与复用的猪病知识库和诊断规则库提供了有效途径。     

基于图像规则推理的玉米病虫草害诊断系统的设计

为解决因植保人员短缺而使玉米病虫草害不能及时得到诊断与防治,导致玉米生产减产乃至绝产的问题,本研究基于不同发病部位的病症及虫害、草害的图像知识和文本知识,采用二叉树检索算法,设计开发了玉米病虫害诊断专家系统。实际应用结果表明:系统可实现对病虫草害图像、文本和图像推理规则等知识的管理及病虫草害智能推理诊断等功能;可实现对虫害草害实现指认式诊断、解释推理过程和推理结论。通过该系统推出的玉米病虫害诊断结论,农户可针对病虫草害种类及危害程度及时防治病虫害,减少玉米生产损失。     

模糊推理技术在公路景观评价系统中的应用

本文研究模糊推理技术在公路景观评价领域的应用,提出采用可信度的双向推理方法用于公路景观评价及恢复系统中,该系统实现领域专家的评价决策,并针对评价结果提出景观的恢复建议,实验结果证明了方法的可行性。该系统在实现过程中建立公路两侧自然本底数据、空间矢量数据、评价指标因子等为主体的数据库;同时还建立由专家知识及经验构成的知识库;相关的评价模型建立模型库和决策库;实现多库统一的决策支持专家系统,实现对公路自身和周围景观的多样性评价;同时对不和谐的评价结果提出相应的恢复方案和措施。     

温室环境专家控制系统的设计与实现

温室环境专家控制系统是温室控制技术的发展方向.为此,详细地介绍了温室环境专家控制系统 的设计方法及技术手段,并结合生产实际提出了一些技术关键问题的解决方法.系统采用Visual Basic 6.0作为系统开发工具,以SQL Server 2000设计系统中的知识库.这种基于数据库方法进行的推理,提高了推理的准确度,具有很强的实用性.     

A fuzzy-logic-based expert system for near-view scenic beauty evaluation of hinoki forest

Scenic quality must be assessed in forests for which recreational opportunities have become more important then traditional wood products. Current assessment methods focus on quantitative evaluations that provide digital information to the users. Usually, people prefer more explicit information (i.e., categorical data) than detailed quantitative data on scenic quality assessment. This paper employed fuzzy-logic terminology to define the scenic information of forests, and then tried to develop an expert system for evaluating scenic quality based on fuzzy reasoning. Results showed that a fuzzy-logic-based expert system using a qualitative model labeled with linguistic terms, makes scenic beauty evaluation intuitive and understanding easy by viewing the categorical physical features of forests. This research developed a methodology of building an expert system in this area. It is capable of providing an efficient and useful tool for forest recreation users and forest managers.     

Assessing citizen science opportunities in forest monitoring using probabilistic topic modelling

Background： With mounting global environmental, social and economic pressures the resilience and stability of forests and thus the provisioning of vital ecosystem services is increasingly threatened. Intensified monitoring can help to detect ecological threats and changes earlier, but monitoring resources are limited. Participatory forest monitoring with the help of ＂citizen scientists＂ can provide additional resources for forest monitoring and at the same time help to communicate with stakeholders and the general public. Examples for citizen science projects in the forestry domain can be found but a solid, applicable larger framework to utilise public participation in the area of forest monitoring seems to be lacking. We propose that a better understanding of shared and related topics in citizen science and forest monitoring might be a first step towards such a framework.
Methods： We conduct a systematic meta-analysis of 1015 publication abstracts addressing ＂forest monitoring＂ and ＂citizen science＂ in order to explore the combined topical landscape of these subjects. We employ ＇topic modelling an unsupervised probabilistic machine learning method, to identify latent shared topics in the analysed publications. Results： We find that large shared topics exist, but that these are primarily topics that would be expected in scientific publications in general. Common domain-specific topics are under-represented and indicate a topical separation of the two document sets on ＂forest monitoring＂ and ＂citizen science＂ and thus the represented domains. While topic modelling as a method proves to be a scalable and useful analytical tool, we propose that our approach could deliver even more useful data if a larger document set and full-text publications would be available for analysis.
Conclusions： We propose that these results, together with the observation of non-shared but related topics, point at under-utilised opportunities for public participation in forest monitoring. Citizen science c