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基于纯语言信息的网络信息资源综合评价研究 总被引：2，自引：1，他引：1
在网络信息资源的评价中,专家给出的信息可能为纯语言信息.本文在纯语言加权算术平均算子(PLWAA)的概念和纯语言运算法则的基础上,提出了基于纯语言信息的网络信息资源综合评价的方法,从而解决了网络信息资源采用纯语言信息可以做定量化的综合评价问题.该方法计算简单,而且能充分地利用已有的语言评价信息.最后进行了实例分析,结果表明该方法是可行和有效的. 相似文献
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《Information processing & management》2001,37(1):75-90
The large amount of information available and the difficulty on processing it has made knowledge management a promising area of research. Several topics are related to it, for example distributed and intelligent information retrieval, information filtering and information evaluation, which became crucial. In this paper, we focus our attention on the knowledge evaluation problem. With the aim of evaluating information coded in the standard non-proprietary format SGML (as also in XML), we propose some evaluation methods based on L-grammars which are fuzzy grammars. In particular we apply these methods to the evaluation of documents in SGML-format and to the evaluation of HTML-pages in the World Wide Web. L-grammars generate recursively enumerable L-languages, as it has been proved in Gerla ((1991), Information Sciences 53), and so they can be used to generate fuzzy languages based on extensions of the document type definitions (DTD) involved by SGML. Given a DTD, we extend its associated language by adding a judgement label. By selecting a particular label and by taking the start symbol of the grammar associated to the DTD, we can generate any DTD-compliant document with a fuzzy degree of membership derived from the judgement label. In this way we fit the computational model underlying the recursively enumerable L-languages to the process of collecting different evaluations of the same document. Finally, we outline how the generalization of these methods of evaluation can be applied in different contexts and for different roles, as for example for information filtering. 相似文献
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针对企业是否适合采纳应用云计算的问题提出一种新的基于差值和改进TOPSIS的多属性群决策方法。首先结合成本和技术-组织-环境(TOE)框架提出企业云计算采纳应用的评价标准,然后利用平均差和标准差最大化方法确定未知属性权重向量,再利用一种改进的逼近理想解(TOPSIS)方法获取决策者之间的权重,最后利用语言加权算术平均(LWAA)算子对各决策专家给出的偏好信息集结算出综合评价值以及上限和下限值,通过比较评价值和上限、下限值决定企业是否适合采纳应用云计算技术。算例分析证明了研究提出的方法的有效性。 相似文献
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XML的显示 总被引：2，自引：0，他引：2
Tbe eXtensible Markup Language(XML)describes a document's structure and content, not the style of the elements on the page. The style can be added to a document with a style sheet. Both Cascading Style Sheet(CSS)and eXtensible Style Languange(XSL)can produce such a style sheet. The HyperText Markup Language(HTML) provides a markup that looks like < xml > , by which XML document can be easily bound to some HTML elements. 相似文献
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基于IOWA的我国能源需求组合预测模型的应用研究 总被引：1，自引：0，他引：1
基于诱导有序加权平均算予的组合预测方法是近年来发展的具有广泛应用的预测模型。本文首先采用多元回归、基于HP的ARMA模型及灰色预测方法建立了我国能源需求的单项预测模型,随后引进诱导有序加权平均算子的概念,建立了我国能源需求的组合预测模型。并对我国未来的能源需求量进行了实证分析。预测结果表明该模型能提高组合预测精度,是一种较为简便、快捷且预测效果较好的方法。 相似文献
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Rubén Heradio Francisco Javier Cabrerizo David Fernández-Amorós Manuel Herrera Enrique Herrera-Viedma 《International Journal of Information Management》2013
Libraries incessantly undergo change determined by evolving user needs. These are often induced by the emergence of previously unavailable tools. Web 2.0 represents an example of such a need-shifting technology, which has led to an embrace of new user interactivity services for many library websites, thus coined Library 2.0. This paradigm shift calls for new evaluation models to include the implementation of Web 2.0 technologies. The aim of this paper is to present such a model, and to evaluate the quality of Library 2.0 functionalities, measuring the quality of the 2.0 services offered through the websites based on user perception. We adopt fuzzy linguistic modeling to represent user perception, and apply aggregation operations to linguistic labels in order to evaluate the quality of the new services. Furthermore, our model subsumes the LibQUAL+ methodology, allowing for the identification of specific 2.0 functionalities in need of improvement and of those outstandingly satisfied by the system. 相似文献
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提出待集结值包含实数与语言变量两种形式的具有优先权的混合加权平均Einstein(PHWAE)算子和具有优先权的二元语义混合加权平均Einstein(PTTLHWAE)算子,并据此建立混合多属性决策方法。 相似文献
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针对指标评价值以语言变量给出的员工绩效评估模型,提出了一种基于三角模糊数的多属性决策法.首先将语义变量转化为三角模糊数,然后利用三角模糊数降模糊法将决策矩阵转化为清晰数决策矩阵,并利用变异系数法确定评价指标的权重,最后通过计算综合绩效指标评价值对各员工的绩效进行评价.文末以一所大学行政人员的工作绩效评价为例说明本文所提出的方法的有效性和可行性. 相似文献
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客户需求权重的确定是质量功能展开中最关键、最核心的阶段。针对客户需求评价者可能作出的不同语言评价集,提出一种基于标准化区间二元语义的多属性评价方法。定义区间二元语义、集结算子和可能度排序方法,介绍基于区间二元语义模型的模糊多属性信息评价算法,并通过实例验证该方法的可行性。 相似文献
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《Information processing & management》2016,52(3):459-477
Nowadays, the increasing demand for group recommendations can be observed. In this paper we address the problem of recommendation performance for groups of users (group recommendation). We focus on the performance of very Top-N recommendations, which are important when recommending the long lasting items (only a few such items are consumed per session, e.g. movie). To improve existing group recommenders we propose a mixed hybrid recommender for groups combining content-based and collaborative strategies. The principle of proposed group recommender is to generate content and collaborative recommendations for each user, apply an aggregation strategy to solve the group conflict preferences for the content and collaborative sets separately, and finally reorder the collaborative candidates based on the content-based ones. It is based on an idea that candidates recommended by both recommendation strategies at the same time are presumably more appropriate for the group than the candidates recommended by individual strategies. The evaluation is performed by several experiments in the multimedia domain (as typical representative for group recommendations). Both, online and offline experiments were performed in order to compare real users’ satisfaction to the standard group recommenders and also, to compare performance of proposed approach to the state-of-the-art recommenders based on the MovieLens dataset. Finally, we experimented with the proposed hybrid recommender to generate the recommendation for a group of size one (i.e. single user recommendation). Obtained results, support our hypothesis that proposed mixed hybrid approach improves the precision of the recommendation for groups of users and for the single-user recommendation respectively on very Top-N recommended items. 相似文献
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图书馆评价对提高图书馆管理和运行效率至关重要。由于图书馆评价涉及的指标较多，有必要研究定量化的综合评价方法。有序加权平均算子是近年来发展起来的一种有效的信息集结方法，通常的加权平均是它的特例。本文探讨其在高校图书馆多指标效率评价方面的应用研究，获得满意的结果。 相似文献
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Extensible Markup Language (XML) documents are associated with time in two ways: (1) XML documents evolve over time and (2) XML documents contain temporal information. The efficient management of the temporal and multi-versioned XML documents requires optimized use of storage and efficient processing of complex historical queries. This paper provides a comparative analysis of the various schemes available to efficiently store and query the temporal and multi-versioned XML documents based on temporal, change management, versioning, and querying support. Firstly, the paper studies the multi-versioning control schemes to detect, manage, and query change in dynamic XML documents. Secondly, it describes the storage structures used to efficiently store and retrieve XML documents. Thirdly, it provides a comparative analysis of the various commercial tools based on change management, versioning, collaborative editing, and validation support. Finally, the paper presents some future research and development directions for the multi-versioned XML documents. 相似文献
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基于量子自组织网络的Web文本自动分类方法 总被引：3，自引：0，他引：3
针对Web信息挖掘中的文本自动分类问题,提出了一种基于模糊特征向量和量子自组织特征映射网络的分类方法.该方法在特征提取时充分考虑了特征项在文档中的Web位置信息,构造出模糊特征向量,使自动分类原则更接近手工分类方法. 相似文献
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As text documents are explosively increasing in the Internet, the process of hierarchical document clustering has been proven to be useful for grouping similar documents for versatile applications. However, most document clustering methods still suffer from challenges in dealing with the problems of high dimensionality, scalability, accuracy, and meaningful cluster labels. In this paper, we will present an effective Fuzzy Frequent Itemset-Based Hierarchical Clustering (F2IHC) approach, which uses fuzzy association rule mining algorithm to improve the clustering accuracy of Frequent Itemset-Based Hierarchical Clustering (FIHC) method. In our approach, the key terms will be extracted from the document set, and each document is pre-processed into the designated representation for the following mining process. Then, a fuzzy association rule mining algorithm for text is employed to discover a set of highly-related fuzzy frequent itemsets, which contain key terms to be regarded as the labels of the candidate clusters. Finally, these documents will be clustered into a hierarchical cluster tree by referring to these candidate clusters. We have conducted experiments to evaluate the performance based on Classic4, Hitech, Re0, Reuters, and Wap datasets. The experimental results show that our approach not only absolutely retains the merits of FIHC, but also improves the accuracy quality of FIHC. 相似文献
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针对重大疫情应急科研的紧迫性、重要性、时效性和协作性的特点,将协同主体、协同任务、协同要素、协同机制、协同绩效和支撑要素等多元协同维度纳入统一的分析框架和逻辑体系,构建多元协同的应急科研协同创新机制;然后将DEMATEL法和网络层次分析(ANP)法进行融合,建立基于DEMATEL-ANP模型的模糊综合评价模型,对重大疫情环境下的应急科研协同活动进行动态评价;并以新型冠状病毒(2019-nCoV)抗体检测试剂盒研发项目为实践案例,对其应急科研协同程度进行测度和评价。研究结果表明,基于DEMATEL-ANP模型的模糊综合评价模型科学有效,能够对重大疫情应急科研协同程度进行精准和动态评价。 相似文献
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针对重大传染病疫情应急科研的紧迫性、重要性、时效性和协作性的特点,将协同主体、协同任务、协同要素、协同机制、协同绩效和支撑要素等多元协同维度纳入统一的分析框架和逻辑体系,构建多元协同的应急科研协同创新机制;然后将DEMATEL法和网络层次分析(ANP)法进行融合,建立基于DEMATEL-ANP模型的模糊综合评价模型,对重大传染病疫情环境下的应急科研协同活动进行动态评价;并以新型冠状病毒（2019-nCoV）抗体检测试剂盒研发为实践案例,对其应急科研协同程度进行测度和评价。研究结果表明,基于DEMATEL-ANP模型的模糊综合评价模型科学有效,能够对重大传染病疫情应急科研协同程度进行精准和动态评价。 相似文献