基于模糊数学的学科点评价指标体系研究

学科点评价是研究生教育的一个重要方面,针对现有学科点评价方法的不足,探讨了学科点评价的构成要素,构建了学科点评价的测度指标体系;应用模糊数学评价方法,提出了学科点评价模型和评价方法。该方法增强了评价的科学性和可靠性,为学科点评价提供了一种行之有效的方法。     

我国高等学校教师评价现状分析及思考

阐述了高校教师评价的作用,介绍了我国高校教师评价工作的发展历程,从教师评价的导向、评价模式、评价类型和评价方法方面,分析了我国高校教师评价的现状.认为高校教师评价应树立以人为本的理念,使评价成为帮助教师发展的动力,而不是作为对教师奖惩的简单手段.为此,要进一步重视形成性评价,适当使用认知发展评价模式,积极引入成果评价,探索素质评价.     

评价方法论研究综述

评价方法论是基于评价问题的一般途径和方式方法,其实质就是以一种系统的观点将众多的评价方法以某种形式组织起来,便于理解和选择具体的评价方法．方法论应具有整体性、普遍性、综合性等特点．本文结合国内外评价问题的研究方法以及作者多年来所从事的评价的理论与实践,阐述了评价、评价系统以及评价机理;分析了评价要素、评价程序;梳理了评价方法．     

通信投资项目后评价理论和方法研究

结合通信投资项目特点,阐述了其后评价的含义及必要性,在研究其后评价主要内容的基础上,提出了包括目标评价、实施过程评价、效益和效果评价、影响评价和持续性评价六大内容在内的通信投资项目后评价指标体系,结合实例给出了通信投资项目后评价的逻辑框架法、对比法和成功度法,特别是提出了基于语言判断矩阵和模糊判断矩阵的综合指标体系评价法,解决了后评价指标权重分配、定性指标定量化及多指标评价结论综合汇总等问题.     

应用模糊综合评价法进行城市布局的评判研究

针对城市布局评价问题,讨论了多种评价方法的优缺点,指出了它们各自的适用范围,在此基础上构建了城市布局的评价指标体系,采用模糊综合评价法,对某城市的布局进行了评价,其评价结果可为城市布局提供参考。     

小城镇建设效益综合评价研究

小城镇综合评价模型和综合评价指标体系的建立是科学、合理评价小城镇效益的前提和基础.文章基于模糊综合评价方法,将灰色关联理论引入到评价因素隶属度确定的环节,改进了模糊综合评价方法,基于指标体系的设置原则,结合小城镇效益评价的特点,构建了小城镇建设效益综合评价模型和综合评价的指标体系,并对天津的三个小城镇建设的效益进行了实证分析研究与综合评价.改进后的综合评价模型为科学、简易的进行小城镇效益综合评价提供了新的途径和手段.     

基于CIPP的混合式教学评价体系研究

分析了混合式教学评价研究现状,基于CIPP设计了混合式教学评价模型、评价指标和指标权重,构建了混合式教学评价体系.实践证明,该教学评价体系可操作性强、评价便捷性高,应用其过程性数据和成果性数据,可有效评价教学过程和质量.     

考虑评价者动态影响力的装备制造业竞争力评价方法及应用

针对装备制造业竞争力评价结果不一致问题,提出了一种考虑评价者影响力的竞争力评价方法。构建了装备制造业竞争力的评价指标;以现有协商评价理论为基础,提出评价者影响力和指标权重的计算方法,建立了考虑评价者影响力的评价模型;对我国装备制造业的竞争力进行评价,结合评价结果比较分析了各省市的装备制造业发展状况。公众可以根据评价群体的影响力判断评价结果的可靠性。     

以形成性评价为主 构建高职英语自主学习评价体系

认为在高职院校开展英语自主学习,应构建以形成性评价为主的评价体系。分析了高职英语自主学习的特点,探讨了形成性评价的优势,提出了以形成性评价为主的评价体系的评价手段和评价方法。     

基于多元评价理论的高职自主招生入学评价

总结了目前高职自主招生入学评价的运行模式,分析了现行模式中定量评价、单一评价的缺点和不足。以加德纳多元评价理论为依据,提出增加评价主体、丰富评价领域的多元评价策略,以进一步提高高职自主招生入学评价的科学合理性。     

群体决策系统可靠度计算研究

提出中靠度的概念，由系统生理论导出群体决策系统的可靠度，从可靠度计算可以找出影响群体决策的关键因素，并为群体组织系统设计建立了定量分析方法。     

科研基金项目评审的模糊群决策方法

对科研基金项目评审的实际问题进行了深入的分析和探讨,在传统的评审方法基础上,运用模糊数学理论提出了一种新的评审方法———科研基金项目评审的模糊群决策方法;并给出了该方法的具体实施步骤,从而为科学合理的评审和优选科研基金项目提供了一种有效的量化方法。     

基于投影及优势度的不确定语言群决策方法

针对属性权重信息不完全的多粒度不确定语言多属性群决策问题,提出一种基于投影及优势度的群决策方法.该方法采用连续区间二元语义的有序加权调和平均(ITC-OWH)算子将多粒度不确定语言评价矩阵转化为二元语义决策矩阵,基于投影法构建目标规划模型,从而确定单个决策者的属性权重向量.在每个决策者之下,计算任意2个方案之间比较的综合属性优势度,根据综合优势度矩阵及决策者权重向量获得群体综合优势度矩阵,由各方案的总优势度获取方案的排序结果.最后,将提出的群决策方法应用到潜艇研制方案遴选问题中,验证了该方法的可行性与有效性.     

基于投影的多粒度语言信息多属性群决策方法

针对具有多粒度语言评价信息的多属性群决策问题,提出了一种基于二元语义信息处理与投影的群决策方法。该方法首先给出了多粒度语言评价信息一致化为由基本语言评价集表示的相同粒度二元语义信息的方法;然后对于属性权重信息不完全的情形,建立了一种基于投影的多目标规划模型,以获得相应的属性权重,并利用二元语义的集结算子对语言评价信息进行加权集成,从而获得各个决策方案的排序和择优结果;最后通过实例分析,说明了该方法的有效性和可行性。     

区间值决策表的决策风险最小化属性约简

针对目前海量数据分析较多情况下从传统的单条记录转变为一个区间对象,将决策粗糙集中风险的概念引入至区间值决策表中,给出了区间值决策表决策风险的定义,并提出了决策风险最小化的属性约简方法.该方法可以保证所得到的约简集合相对于决策属性具有较强的分类能力,同时保证约简集合的决策风险最小.区间值决策表的决策风险最小化约简使得定义的约简具有更强的理论性和可解释性.     

群体多准则决策分析的TOPSIS算法

针对群体多准则决策问题，给出了一种新的分析方法—ＴＯＰＳＩＳ算法，这是将单人多准则决策的ＴＯＰＳＩＳ算法推广到多人多准则决策的情形．最后以实例说明该方法的应用．     

群体决策中专家决策的一种定量集成方法

本文针对群体决策中的群体评价问题，给出了一种集成多专家评价的协调分析方法，并且给出了应用实例；同时，初步提出了多目标变权协调分析的数学模型。     

Research on the Group Decision in Manufacturing Chain

The competition in 21st century will be the competition among different manufacturing chains. Manufacturing chain makes decision not only the core enterprise of the manufacturing chain but also a group of enterprises. Any significant decision in manufacturing chain will affect each enterprise in manufacturing chain, thus every significant decision should meet the desire and requests of each enterprise that be affected. Any significant decision should concentrate in the opinion of each member in the representative assembly or committee and obtain the authorization of the congress. Any vital question also should be discussed, made the decision and coordinated the moves by the representative assembly or the committee. With society's development and the technical progress, the knowledge and the information content is growing suddenly, the questions needs making the decision are more and complex, the single enterprise only depended on its own resources and the strength is unable to grasp all essential information, and hard to face all questions. The representative assembly formed by representatives from each enterprise in manufacturing chain can gather together experts of different knowledge structure and different experience, which make up the deficiency of single enterprise in resources, strength and experience with the aid of many enterprises' resources and the strength. This is not just increase several brains, but to establish an information complex to ensure the scientific of decision, which formed by different knowledge structure, applies scientific theory method and means, can mutually enlighten and has abundant knowledge. So it comes down to the group decision. Group decision questions have two types, one is the collectivity decision which pursue the holistic benefit of the group, the other is that the members in the group pursue its' own benefit and value against others, that means the game theory of interest conflict existed among the members. Currently, most scholars research the questions in manufacturing chain from the point of game theory, the research on collectivity decision, which pursues the holistic benefit of manufacturing chain, is limited. The group decision support systems used in the later stage of 1990s includes electronic conference system and working flow system.     

Research on the Group Decision in Manufacturing Chain

The competition in 21st century will be the competition among different manufacturing chains.Manufacturing chain makes decision not only the core enterprise of the manufacturing chain but also a group of enterprises.Any significant decision in manufacturing chain will affect each enterprise in manufacturing chain,thus every significant decision should meet the desire and requests of each enterprise that be affected.Any significant decision should concentrate in the opinion of each member in the rep- resentative assembly or committee and obtain the authorization of the congress.Any vital question also should be discussed,made the decision and coordinated the moves by the representative assembly or the committee.With society's development and the technical progress,the knowledge and the information content is growing suddenly,the questions needs making the decision are more and complex,the single enterprise only depended on its own resources and the strength is unable to grasp all essential information,and hard to face all questions.The representative assembly formed by representatives from each enterprise in manufacturing chain can gather together experts of different knowledge structure and different experience,which make up the deficiency of single enterprise in resources,strength and experience with the aid of many enterprises'resources and the strength.This is not just increase several brains,but to establish an information complex to ensure the scientific of decision,which formed by different knowledge structure, applies scientific theory method and means,can mutually enlighten and has abundant knowledge.So it comes down to the group decision.Group decision questions have two types,one is the collectivity decision which pursue the holistic benefit of the group,the other is that the members in the group pursue its'own benefit and value against others,that means the game theory of interest con- flict existed among the members.Currently,most scholars research the questions in manufacturing chain from the point of game theory,the research on collectivity decision,which pursues the holistic benefit of manufacturing chain,is limited.The group deci- sion support systems used in the later stage of 1990s includes electronic conference system and working flow system.     

企业群决策支持系统中的投资资金分配模型研究

多元化经营活动中所涉及到的投资资金分配问题是个重要的问题，本论文首先对投资项目风险因素进行了分析，并且试图对其进行一定的量化，其次，考虑收益、风险和费用三个目标，建立了企业群决策支持系统中的投资资金分配的模型，并对该模型进行求解的探讨，最后，给出了该模型的群决策过程和选择方案的方法。