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基于多元智商的外派经理评价指标与选择方法 总被引：3，自引：0，他引：3
针对跨国公司外派经理的选择问题,给出了一种实用的决策分析方法。首先,借鉴已有的研究成果,建立了一套基于多元智商的外派经理评价指标体系;然后,考虑指标的主观判断因素,引入了模糊数的概念,并基于理想点法给出了一种多指标决策方法;最后,通过一个算例说明了方法的应用。 相似文献
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针对跨国公司外派经理的选择问题,给出了一种实用的决策分析方法.首先,借鉴已有的研究成果,建立了一套基于多元智商的外派经理评价指标体系;然后,考虑指标的主观判断因素,引入了模糊数的概念,并基于理想点法给出了一种多指标决策方法;最后,通过一个算例说明了方法的应用. 相似文献
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本文提出了一种基于直觉梯形模糊数和Choquet积分的模糊多准则决策方法,并将其应用于创业投资项目评估的实证研究中。该方法采用直觉梯形模糊数表示专家偏好信息,运用Choquet积分集结算子整合不同专家评价决策矩阵,并利用模糊TOPSIS方法求解决策模型,得出不同方案的模糊属性值和理想方案值。然后利用模糊数的距离公式求得每一个评价方案与理想方案之间的差值,进而得到方案之间的优劣排序。在实证研究中,文章以某高新区五家创投企业作为研究对象,用直觉梯形模糊数表示它们在技术水平、市场规模、产品创新、所在行业环境及政府支持力度等方面的专家评判情况,得出这些企业在这五个方面的综合排名。该实证研究进一步验证文中所建立模型的实用性和可行性。 相似文献
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数字资源用户满意度研究 总被引：1，自引：0，他引：1
针对数字资源用户满意度的评价问题,结合ACSI模型与数字资源评价影响因素构建数字资源用户满意度评价指标体系,将三角模糊法、用户背景特征分析以及模糊综合评价法应用于数字资源满意度的测度。通过研究,可以得到用户对数字资源的满意度情况以及各项指标的重要程度,以期达到可以为图书馆提高数字资源建设和信息服务的目的。 相似文献
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One difficult problem in information retrieval (IR) is the proper interpretation of user queries. It is extremely hard for users to express their information needs in a specific yet exhaustive way. In an effort to alleviate this problem, two theoretical models have been proposed to utilize user characteristics maintained in the form of a user profile. Although the idea of integrating user profiles into an IR system is intuitively appealing, and the models seem viable, no research to date has established a foundation for the roles of user profiles in such a system. Aiming at the investigation of the roles of user profiles, therefore, this study first identifies and extends various query/profile interaction models to provide a ground upon which the investigation can be undertaken. From a continuum of models characterized on the basis of interaction types, metrics, and parameters, nearly 400 models are chosen to investigate the “model space.” New measures are developed based on the notion of user satisfaction/frustration. In addition, three different criteria are used to guide users in making judgments on the quality of retrieved items. Analysis of the data obtained from the experiments shows that, for a wide variety of criteria and metrics, there are always some query/profile interaction models that outperform the query alone model. In addition, preferable characteristics for different criteria are identified in terms of interaction types, parameters, and metrics. 相似文献
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基于OAT的空间多准则决策中的权重敏感性分析 总被引：1，自引：0，他引：1
在空间多准则决策中,敏感性分析是衡量决策过程中不确定性的重要方法。层次分析法(AHP)是常用的空间多准则决策方法之一,它的决策结果很大程度上受其成对比较矩阵生成的准则权重的影响,如何量化评估这一影响的大小、如何实现空间多准则决策的可视化,一直是其中的难点。本研究在AHP实现空间多准则决策的过程中,利用OAT(One-at-a-Time)方法依次改变成对比较矩阵元素值来调整权重,从而量化地、可视化地表示决策结果对这些元素值改变的敏感程度。这种新方法能够执行自定义范围内的定量化的动态变化分析,测度不同权重分配情况下,空间决策结果的敏感性;通过设计的敏感性分析量化指标评判敏感性的相对强弱,锁定成对比较矩阵中更需斟酌的元素值;并在GIS平台支持下,实现可视化的空间数据统计及分析。本研究还以嘉兴市北部地区的旅游开发适宜性评价作为范例,来说明该分析方法在空间多准则决策中的可行性。案例分析中,通过对五个准则图层以及相关的成对比较矩阵的分析,利用统计表格、模拟结果图和汇总图表等多种形式,确定了矩阵中敏感性最高的元素,并完成了元素值的最终设定。该方法深入浅出地帮助相关决策者和研究人员更好地理解权重敏感性,从而在空间多准则决策过程中降低不确定性,进行更有效的测度。 相似文献
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针对创新社区日益增长的海量信息阻碍了用户对知识进行有效获取和创造的现状,将模糊形式概念分析（FFCA）理论应用于创新社区领先用户的个性化知识推荐研究。首先识别出创新社区领先用户并对其发帖内容进行文本挖掘得到用户——知识模糊形式背景,然后构建带有相似度的模糊概念格对用户偏好进行建模,最后基于模糊概念格和协同过滤的推荐算法为领先用户提供个性化知识推荐有序列表。以手机用户创新社区为例,验证了基于FFCA的领先用户个性化知识推荐方法的可行性,有助于满足用户个性化知识需求,促进用户更好地参与社区知识创新。 相似文献
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[目的/意义]大数据时代下,移动图书馆对用户阅读方式和获取知识具有重要作用。在用户感知移动图书馆服务质量需求由分散转向关联,服务质量评价过程由精确转向模糊多元的情形下,文章提出了一种模糊Kano模型与犹豫模糊Taguchi方法为核心的综合评价方法。[方法/过程]首先,根据用户与决策者的偏好信息以模糊Kano修正指标重要度,分析用户的直接需求。其次,根据评价过程中的不确定性及指标的关联冲突,提出一种犹豫模糊Kano-Taguchi方法,该方法通过对主客观综合重要度的分析体现了用户与决策者对移动图书馆的偏好程度。最后,以五所云南高校为例进行算例分析,且通过对比分析验证本研究方法的科学性与合理性。[结果/结论]研究表明,文章提出的方法不仅简便明了,而且客观充足。 相似文献
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基于模糊积分的企业信用评级方法研究 总被引：6，自引：0，他引：6
目前我国银行对于企业信用评级一般采用的是基于评分的等级分类方法,国内的研究虽然在方法上有大的改进,但是整体来看忽视信用评级过程的模糊本性。本文采用一种模糊信用评级方法,做一个有等级之分的决策结构的模型,运用模糊积分自下而上地综合信用信息。这种技术不仅考虑了目标数据,还考虑了每种指标的相关重要性。还有,这种方法使用了模糊集来描述指标,这样,最终的信用评级结果能揭示信用信息的变化。描述最终评价结果的五个等级水平可以提供更多有价值的信息。 相似文献
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On the web, a huge variety of text collections contain knowledge in different expertise domains, such as technology or medicine. The texts are written for different uses and thus for people having different levels of expertise on the domain. Texts intended for professionals may not be understandable at all by a lay person, and texts for lay people may not contain all the detailed information needed by a professional. Many information retrieval applications, such as search engines, would offer better user experience if they were able to select the text sources that best fit the expertise level of the user. In this article, we propose a novel approach for assessing the difficulty level of a document: our method assesses difficulty for each user separately. The method enables, for instance, offering information in a personalised manner based on the user’s knowledge of different domains. The method is based on the comparison of terms appearing in a document and terms known by the user. We present two ways to collect information about the terminology the user knows: by directly asking the users the difficulty of terms or, as a novel automatic approach, indirectly by analysing texts written by the users. We examine the applicability of the methodology with text documents in the medical domain. The results show that the method is able to distinguish between documents written for lay people and documents written for experts. 相似文献
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Big data analytics and international negotiations: Sentiment analysis of Brexit negotiating outcomes
We introduce Big Data Analytics (BDA) and Sentiment Analysis (SA) to the study of international negotiations, through an application to the case of the UK-EU Brexit negotiations and the use of Twitter user sentiment. We show that SA of tweets has potential as a real-time barometer of public sentiment towards negotiating outcomes to inform government decision-making. Despite the increasing need for information on collective preferences regarding possible negotiating outcomes, negotiators have been slow to capitalise on BDA. Through SA on a corpus of 13,018,367 tweets on defined Brexit hashtags, we illustrate how SA can provide a platform for decision-makers engaged in international negotiations to grasp collective preferences. We show that BDA and SA can enhance decision-making and strategy in public policy and negotiation contexts of the magnitude of Brexit. Our findings indicate that the preferred or least preferred Brexit outcomes could have been inferred by the emotions expressed by Twitter users. We argue that BDA can be a mechanism to map the different options available to decision-makers and bring insights to and inform their decision-making. Our work, thereby, proposes SA as part of the international negotiation toolbox to remedy for the existing informational gap between decision makers and citizens’ preferred outcomes. 相似文献
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由于知识水平、知识背景等差异,不同用户在完成相同任务时有不同的知识需求。根据知识需求把知识流引入业务过程元模型中,实现工作流技术与知识管理的集成。利用用户模型对业务过程知识进行过滤,为用户提供基于业务角色和任务的个性化知识服务。Abstract： Different users have different knowledge requirement when fulfilling the same task due to their differences in knowledge level and knowledge background.By introducing the knowledge flow into the business process meta-model based on knowledge requirement,workflow technology is integrated with knowledge management.Utilizing user model to filter business process knowledge,personalized knowledge service based on the roles and tasks in business process is provided for users. 相似文献
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政府决策信息采集模型研究 总被引：1，自引：1，他引：1
政府决策信息采集系统是政府管理自动化系统的一部分。研究政府决策信息采集模型是构建政府辅助决策支持系统的基础，也是电子政务系统开发的起点。本文从政府决策过程入手，在分析不同决策过程信息需求的基础上，界定了政府决策信息源，借鉴信息资源库建设方法，构建了电子政务环境下的政府决策信息采集模型。 相似文献
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[目的/意义]从用户角度,通过用户评价内容挖掘构建形成网络学术信息资源评价模型,为网络学术信息资源评价提供一个新的视角,并为其更进一步深入研究奠定基础。[方法/过程]文章在利用爬虫工作自动抓取三个知名学术网站用户评论的语料库基础上,运用数据挖掘研究方法对评论数据进行分词、聚类,根据词间与词对关系,构建形成评价体系模型。[结果/结论]基于用户评论挖掘构建形成涵盖资源内容属性、资源外部特征、网络功能属性、获取过程、用户体验五个维度的网络学术信息资源评价体系模型。该体系模型反映出科学用户在利用新兴网络学术信息资源过程中对资源自身属性和平台规范性的关切,是用户与利用正式学术信息资源的本质区别。 相似文献
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[目的/意义]民族志决策树理论提供了解释群体的实际决策和选择行为的有效理论和方法论。对民族志决策树理论及其在信息系统领域的应用研究进行梳理,有助于未来研究者正确把握并有效发挥其研究潜力。[方法/过程]采用文献调研法,对国内外信息系统领域应用民族志决策树理论的文献进行述评,总结研究取得的成果、存在的问题、改进的方法以及未来值得关注的研究方向。[结果/结论]信息系统领域对民族志决策树理论的应用主要集中在特定群体的行为研究和用户流失因素研究两方面。应用实践中存在"模型创建阶段缺乏充分的民族志研究循环"、"得到的决策树模型略显单薄"、"模型检验阶段缺乏有效的二次检验"、"对决策动机分析不足导致模型缺乏解释力"等问题。因此,信息系统领域的未来研究,一方面需要改进民族志决策树的建模与检验方法,"合理利用访谈技巧,提高决策标准的启发效率","在分层树状模型的基础上,拓展模型结构和维度","利用定量分析方法进行模型检验,减少主观臆测性","结合民族志描述和认知理论,提高模型解释力"。另一方面,有必要在广度上丰富民族志决策树理论的应用实践,深度上挖掘决策标准和约束条件背后的研究问题,拓展民族志决策树理论在信息系统研究中的应用领域。 相似文献
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[目的/意义]关联数据分析和个性化信息推送是图书馆联盟建设的重要内容。文章引入关联分析挖掘技术为北京地区高校图书馆联盟馆际文献传递中的个性化推送服务提出建议。[方法/过程]以2018年BALIS北京地区高校图书馆文献传递服务数据为基础,对不同专业用户群体和不同高校用户群体文献传递申请单数据进行分析,并利用FP-growth关联分析算法技术对数据进行相关系数分析。[结果/结论]数据挖掘结果较好地挖掘出北京地区各高校图书馆用户的跨校、跨专业文献借阅偏好,可实现有效和有针对性的文献推荐服务,同时能够为区域图书馆联盟的资源共建共享提供数据参考。 相似文献
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The purpose of the current study is to identify the user criteria and data-driven features, both textual and non-textual, for assessing the quality of answers posted on social questioning and answering sites (social Q&A) across four different knowledge domains—Science, Technology, Art and Recreation. A comprehensive review of literature on quality assessment of information produced in social contexts was carried out to develop the theoretical framework for the current study. A total of 23 user criteria and 24 data features were proposed and tested with high-quality answers obtained from four social Q&A sites in Stack Exchange. Findings indicate that content-related criteria and user and review features were the most frequently used in quality assessments, while the importance of user criteria and data features was variable across the knowledge domains. In the Technology Q&A site containing mostly self-help questions, the utility class was the most frequently used group of criteria. The popularity of the socio-emotional class was more apparent in discussion-oriented topic categories such as Art and Recreation, where people seek others’ opinions or advice. Users of Art and Recreation Q&A sites in Stack Exchange appear to place more value on answerers’ efforts and time, good attitudes or manners, personal experience, and the same taste. The importance of user features and the emphasis on answerer's expertise on the Science Q&A site was observed. Examining the connection or gap between user quality criteria and data features across the knowledge domains could help to better understand users’ evaluation behaviors for their preferred answers, and identify the potential of social Q&A for user education/intervention in answer quality evaluation. This examination also offers practical guidance for designing more effective social Q&A platforms, considering how to customize community support systems, motivate contributions, and control content quality. 相似文献