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学者姓名：张文德
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Abstract ：
现有的药物推荐算法大多基于历史电子健康记录,但该数据难以反映患者的当前健康状况,也无法捕捉患者实时性的健康需求,导致推荐效果不佳.为此,融合了在线对话和疾病信息,提出一种基于对话结构与图注意力网络的药物推荐算法.集成灰关联分析与图注意力网络,运用灰关联分析学习节点间的关联,提出了一种新的关联感知图结构,以弥补传统图网络难以捕捉节点关联的不足.构建了对话分层编码器,基于新的图注意力网络编码话语与对话表示,并设计两种关联图结构学习节点的邻接关系,以生成蕴含上下文语义的对话结构表示.基于知识图谱和新的图网络学习疾病表示,将其与对话表示融合,实现药物的预测与推荐.实验结果表明,提出的算法在各评估方法下均优于基线方法,与性能最好的基线DNN相比,提出算法的F1和Jaccard分别提高了1.8%和3.5%,表明了提出算法能有效提高推荐性能.
Keyword ：
图注意力网络 图注意力网络 对话结构 对话结构 灰关联分析 灰关联分析 药物推荐 药物推荐
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| GB/T 7714 | 陈江美 , 张文德 , 谭睿璞 . 基于对话结构与图注意力网络的药物推荐算法 [J]. | 计算机科学与探索 , 2024 , 18 (8) : 2130-2139 . |
| MLA | 陈江美 等. "基于对话结构与图注意力网络的药物推荐算法" . | 计算机科学与探索 18 . 8 (2024) : 2130-2139 . |
| APA | 陈江美 , 张文德 , 谭睿璞 . 基于对话结构与图注意力网络的药物推荐算法 . | 计算机科学与探索 , 2024 , 18 (8) , 2130-2139 . |
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为解决当前应急决策研究大多侧重于数学模型构建且决策数据偏主观假定，导致客观性、实用性及智能性不足的问题，提出基于深度学习和情感倾向分析的单值中智数智能获取方法，并将其应用于突发事件应急决策。首先，利用Python编程技术对突发事件网络舆情数据进行抓取、预处理、统计分析和可视化，得到量化的单值中智数；其次，利用中智数本身具有的不确定性特点，基于精确函数和信息熵客观确定属性权重；最后，利用案例推理(CBR)方法对备选方案进行排序和择优。研究结果表明：所提方法能够对突发事件网络舆情进行实时监测，可以客观智能获取决策数据从而实现对台风灾害的量化评估。研究结果可为相关部门有效应对突发事件网络舆情提供智能辅助决策支持。
Keyword ：
中智数 中智数 应急决策 应急决策 数据分析 数据分析 案例推理 案例推理 突发事件 突发事件 网络舆情 网络舆情
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| GB/T 7714 | 陈冲 , 谭睿璞 , 张文德 et al. 基于中智数的突发事件网络舆情辅助决策方法研究 [J]. | 中国安全生产科学技术 , 2024 , 20 (05) : 50-56 . |
| MLA | 陈冲 et al. "基于中智数的突发事件网络舆情辅助决策方法研究" . | 中国安全生产科学技术 20 . 05 (2024) : 50-56 . |
| APA | 陈冲 , 谭睿璞 , 张文德 , 黄湘怡 . 基于中智数的突发事件网络舆情辅助决策方法研究 . | 中国安全生产科学技术 , 2024 , 20 (05) , 50-56 . |
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为提升中国高校知识服务效能，激发高校教师创新潜能、促进知识创新，在知识服务领域引入赋能理论，对中国9所高校26位知识服务主体进行深入访谈，结合C9高校发布的9份网络报道，运用扎根理论的编码技术进行数据处理，挖掘出技术赋能、市场赋能、知识赋能、心理赋能、制度赋能和组织赋能6个核心范畴，基于分析结果构建双因素视角下高校知识服务赋能理论模型（IMK-TPO模型），并采用问卷调查法对模型进行验证。结果发现，在高校知识服务赋能路径中，既要以制度赋能、市场赋能和知识赋能等保健赋能模式为保障，维持原有服务效能，还需以技术赋能、心理赋能和组织赋能等激励赋能模式为驱动，提升整体服务效能。其中，制度赋能和市场赋能需要政府等组织的协同支持；而知识赋能则需要通过持续学习来提升。基于此，提出由政府高校个人合力建立信息共享平台、搭建合作网络，强化学科交融互动的发展策略，以期促进中国高校知识服务发展。
Keyword ：
服务效能 服务效能 知识服务 知识服务 赋能理论 赋能理论 高校知识管理 高校知识管理
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| GB/T 7714 | 张文德 , 潘星宇 , 陈旭华 . 赋能视角下中国高校知识服务能力提升路径研究 [J]. | 科技管理研究 , 2024 , 44 (04) : 137-143 . |
| MLA | 张文德 et al. "赋能视角下中国高校知识服务能力提升路径研究" . | 科技管理研究 44 . 04 (2024) : 137-143 . |
| APA | 张文德 , 潘星宇 , 陈旭华 . 赋能视角下中国高校知识服务能力提升路径研究 . | 科技管理研究 , 2024 , 44 (04) , 137-143 . |
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明确数据产权配置的改革目标、判定数据产权配置的改革水平，从而指导产权政策优化与落实，是我国开展数据产权配置改革工作的先决条件。围绕权利分置、市场建设、治理保障和开拓创新4个维度，构建数据要素市场产权配置改革评价指标体系，并提出一种基于网络分析法和优化经典拓扑结构的一维卷积神经网络智能评价机制，对我国数据要素市场产权配置改革水平准确研判。研究发现：数据产权配置改革需重点关注权益分配公平性、效益产出持续性、税制改革创新性和软环境建设保障性；各地区数据产权配置改革水平存在显著差异，大体呈现出“东高西低、沿海高于内陆”的分布态势；改革水平并不简单等同于这个地区的行政级别、经济地位或资源禀赋。
Keyword ：
卷积神经网络 卷积神经网络 数据产权 数据产权 数据要素 数据要素 网络分析法 网络分析法
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| GB/T 7714 | 李珊 , 张文德 , 郑伟鑫 . 中国数据要素市场产权配置改革评价机制构建与实证研究 [J]. | 中国软科学 , 2024 , 13 (01) : 151-163 . |
| MLA | 李珊 et al. "中国数据要素市场产权配置改革评价机制构建与实证研究" . | 中国软科学 13 . 01 (2024) : 151-163 . |
| APA | 李珊 , 张文德 , 郑伟鑫 . 中国数据要素市场产权配置改革评价机制构建与实证研究 . | 中国软科学 , 2024 , 13 (01) , 151-163 . |
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[目的/意义]图书馆用户评论中包含用户对图书馆服务和管理意见的重要信息，对用户评论文本进行深度挖掘，旨在探究用户关心主题及其情感态度、隐含诉求，为高校图书馆建设提供理论依据和数据支持。[方法/过程]以“双一流”高校图书馆为研究对象，收集用户在大众点评网上的评论数据，通过LDA主题建模，得到当前用户评论主要集中在信息资源建设、娱乐休闲服务、馆内设施环境三个维度，进而分别分析三个维度下的关键词共现网络和用户情感态度。[结果/结论]用户对高校图书馆的总体情感态度是积极正向的，但在纸质资源管理、社会化服务、馆内人性化服务等方面表现出负面情绪。
Keyword ：
LDA主题分析 LDA主题分析 共现网络 共现网络 情感分析 情感分析 用户评论 用户评论 高校图书馆 高校图书馆
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| GB/T 7714 | 张文德 , 徐子杨 , 赵立红 . 基于LDA主题模型的“双一流”高校图书馆用户评论文本数据挖掘 [J]. | 情报探索 , 2024 , PageCount-页数: 8 (07) : 120-127 . |
| MLA | 张文德 et al. "基于LDA主题模型的“双一流”高校图书馆用户评论文本数据挖掘" . | 情报探索 PageCount-页数: 8 . 07 (2024) : 120-127 . |
| APA | 张文德 , 徐子杨 , 赵立红 . 基于LDA主题模型的“双一流”高校图书馆用户评论文本数据挖掘 . | 情报探索 , 2024 , PageCount-页数: 8 (07) , 120-127 . |
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PurposeThis paper aims to propose a system dynamics model of blockchain online community knowledge sharing, with the following goals: to reveal the internal mechanism of blockchain technology on community knowledge sharing; to show the impact of blockchain technology on knowledge sharing; and to promote knowledge sharing and the self-development of blockchain online communities.Design/methodology/approachBased on the core characteristic factors of blockchain technology, including incentive mechanism, trust mechanism, information protection mechanism, etc., a knowledge sharing analysis framework is established. Through the use of the Vensim PLE (Personal Learning Version) software, according to the steps of "putting forward a dynamic hypothesis", "establishing a system dynamic equations", and then "model testing" and "simulation", the article analyzes in depth the process and extent of the impact of the above features on online community knowledge sharing.FindingsThe results show that the blockchain incentive mechanism, trust mechanism and information protection mechanism all contribute to promoting an increase in the number of community knowledge sharing users, as well as in the total amount of knowledge shared. The results also show that the token reward in the incentive mechanism has in fact a higher degree of influence than the trust and information protection mechanisms.Originality/valueAt present, no research on the internal mechanism of knowledge sharing in blockchain online communities has been carried out. This article plays a complementary role in research in this field, and offers significant guidance for promoting online community knowledge management and online community development.
Keyword ：
Blockchain Blockchain Incentive mechanism Incentive mechanism Information protection mechanism Information protection mechanism Knowledge sharing Knowledge sharing System dynamics model System dynamics model Trust mechanism Trust mechanism
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| GB/T 7714 | Xie, Renqiang , Zhang, Wende . Online knowledge sharing in blockchains: towards increasing participation [J]. | MANAGEMENT DECISION , 2023 , 61 (7) : 2050-2072 . |
| MLA | Xie, Renqiang et al. "Online knowledge sharing in blockchains: towards increasing participation" . | MANAGEMENT DECISION 61 . 7 (2023) : 2050-2072 . |
| APA | Xie, Renqiang , Zhang, Wende . Online knowledge sharing in blockchains: towards increasing participation . | MANAGEMENT DECISION , 2023 , 61 (7) , 2050-2072 . |
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A multi-attribute decision-making method based on heterogeneous information and set pair analysis is proposed, considering the balance of the contradictions between information representation and information processing in the decision making process. The method is applied to decision-making problems in which the attribute weights are completely unknown and the attribute values are characterized as heterogeneous information (including exact numbers, interval numbers, intuitionistic fuzzy numbers, interval intuitionistic fuzzy numbers, neutrosophic numbers, interval neutrosophic numbers, picture fuzzy numbers, and Pythagorean fuzzy numbers). First, various transformation methods for converting heterogeneous information into the connection numbers (CNs) of set pair analysis are introduced and defined, and the heterogeneous information is uniformly converted into CNs for ease of processing. Second, the attribute weights of the heterogeneous information are obtained using the information entropy of the CNs. Thereafter, the alternatives are ranked by the VIKOR method. Moreover, we use the method of setting a threshold for the compromise evaluation value, and the clustering method to group the alternatives to provide more auxiliary decision making. Finally, the feasibility and effectiveness of the proposed method are demonstrated by a typhoon disaster evaluation example, and the advantages of the proposed approach are emphasized by performing a multi-faceted comparative analysis with other methods. Among them, the time complexity of the proposed algorithm can be simplified as O(m), which demonstrates an improvement on the simplified time complexity O(m2) of the two existing methods. Particularly in the context of big data, the advantages are apparent.
Keyword ：
Connection number Connection number Heterogeneous information Heterogeneous information Multiple-attribute decision Multiple-attribute decision Neutrosophic set Neutrosophic set Set pair analysis Set pair analysis VIKOR method VIKOR method
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| GB/T 7714 | Tan, Ruipu , Zhang, Wende , Yang, Lehua . Decision-making method based on set pair analysis and VIKOR under heterogeneous information environment and application to typhoon disaster assessment [J]. | SOFT COMPUTING , 2023 , 27 (12) : 8289-8314 . |
| MLA | Tan, Ruipu et al. "Decision-making method based on set pair analysis and VIKOR under heterogeneous information environment and application to typhoon disaster assessment" . | SOFT COMPUTING 27 . 12 (2023) : 8289-8314 . |
| APA | Tan, Ruipu , Zhang, Wende , Yang, Lehua . Decision-making method based on set pair analysis and VIKOR under heterogeneous information environment and application to typhoon disaster assessment . | SOFT COMPUTING , 2023 , 27 (12) , 8289-8314 . |
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The great advances in mobile devices make it critical to exploit multiple auxiliary information for efficient point -of-interest (POI) recommendations. However, most existing methods can neither effectively address the extreme data sparsity encountered in temporal-aware recommendation nor reasonably deal with implicit feedback. Furthermore, previous methods, including those relying on similarity measurement, cannot capture the intrinsic data correlations exhibited in the sparse data. To remedy these drawbacks, this paper proposes a temporal-aware personalized recommendation framework called Temporal Spatial Popularity and Temporal-aware Matrix Factorization (TeSP-TMF). In TeSP-TMF, we present the potential preferences model and temporal-aware matrix factorization model. Specifically, users' potential preferences that incorporate temporal, spatial, and popularity information are investigated to learn a set of potential POIs for each user, which are filled into the original matrix for further matrix factorization, owing to the sparse nature of the rating matrix. On this basis, we develop a new approach using a combination of grey relational analysis and matrix factorization, which not only relieves data scarcity caused by dividing the matrix with time slots but also strategically mines inherent temporal relation-ships. Finally, we implement extensive experiments on two public datasets collected from Foursquare and Yelp. Experimental results demonstrate that our proposed method yields competitive quality compared to several state-of-the-art methods. Theoretically, our work contributes promising insights for mitigating data sparsity. In practice, our results can enhance personalized temporal-aware POI recommendation services for location-based social networks.
Keyword ：
Grey relational analysis Grey relational analysis Matrix factorization Matrix factorization Point -of -interest Point -of -interest Potential preferences Potential preferences
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| GB/T 7714 | Chen, Jiangmei , Zhang, Wende . TeSP-TMF: A temporal-aware personalized POI recommendation approach based on potential preferences and grey relational analysis [J]. | ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS , 2023 , 58 . |
| MLA | Chen, Jiangmei et al. "TeSP-TMF: A temporal-aware personalized POI recommendation approach based on potential preferences and grey relational analysis" . | ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS 58 (2023) . |
| APA | Chen, Jiangmei , Zhang, Wende . TeSP-TMF: A temporal-aware personalized POI recommendation approach based on potential preferences and grey relational analysis . | ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS , 2023 , 58 . |
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With the rising incidences of emergencies, it is both challenging and meaningful to study how to make decisions quickly and take appropriate measures to control the spread and evolution of the situation. However, most current emergency decision-making focuses on mathematical model construction, whereas fuzzy decision-making is biased towards subjective assumptions, which are both insufficient for practicability. We studied the intelligent acquisition of single-valued neutrosophic numbers based on emotional tendency analysis and applied them to emergency decision-making. First, Python programming technology was used to crawl, preprocess, and statistically analyse the network comment data of emergencies, and a quantised single-value neutrosophic number was obtained. Second, the attribute values, represented as neutrosophic numbers, were uniformly converted into cloud droplets, and the weight of the attribute values was objectively determined according to the digital feature entropy in the cloud droplets. Subsequently, a case-based reasoning approach was used to calculate the combined weighted similarity between the alternatives and ideal solution (target case) to obtain a ranking of the alternatives and historical cases in the case base that best matches the target case. Finally, a typhoon disaster assessment was considered as an example to verify the feasibility and effectiveness of the proposed method, and the advantages of the proposed method were emphasised through multi-aspect and multi-angle comparative analyses. The relevant research can be used for public opinion monitoring during emergencies and emergency handling.
Keyword ：
case-based reasoning (CBR) case-based reasoning (CBR) cloud model cloud model Emergency decision-making Emergency decision-making emotional tendency analysis emotional tendency analysis intelligent acquisition of single-valued neutrosophic numbers intelligent acquisition of single-valued neutrosophic numbers
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| GB/T 7714 | Tan, Ruipu , Chen, Chong , Zhang, Wende et al. Intelligent acquisition of single-valued neutrosophic numbers based on emotional tendency analysis and its application in emergency decision making [J]. | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2023 , 45 (6) : 11247-11268 . |
| MLA | Tan, Ruipu et al. "Intelligent acquisition of single-valued neutrosophic numbers based on emotional tendency analysis and its application in emergency decision making" . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 45 . 6 (2023) : 11247-11268 . |
| APA | Tan, Ruipu , Chen, Chong , Zhang, Wende , Yang, Lehua , Ma, Hangfei . Intelligent acquisition of single-valued neutrosophic numbers based on emotional tendency analysis and its application in emergency decision making . | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS , 2023 , 45 (6) , 11247-11268 . |
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[目的/意义]“信息资源建设”课程是信息资源管理专业的核心课程之一。数字化时代，新文科建设对信息资源建设课程教学提出了更高的要求，传统的教学模式已难以满足这一需要。[方法/过程]在梳理相关研究的基础上，利用扎根理论的方法对30位信息资源管理专业研究生、教师和图书馆馆员进行访谈，收集有关课程教学的原始信息，运用NVivo软件对收集到的资料进行开放式编码、主轴编码和选择性编码，总结出五个核心范畴：课程认知、课程资源、授课现状、课程评价、教学改革，以此提出信息资源建设课程教学的改进方向，有效地支持信息资源建设课程教学。[结果/结论]五个核心范畴契合当前的教学现状和需求，通过微课程对教学的影响和微课程的发展阐释，以教学需求为导向，提出教学改革方向，为信息资源建设教学发展提供理论支撑。
Keyword ：
信息资源建设 信息资源建设 扎根理论 扎根理论 教学改革 教学改革 新文科 新文科
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| GB/T 7714 | 张文德 , 黄佳鑫 , 曾彩凤 . 基于扎根理论的研究生信息资源建设课程改革体系构建 [J]. | 情报探索 , 2023 , 8 (07) : 54-61 . |
| MLA | 张文德 et al. "基于扎根理论的研究生信息资源建设课程改革体系构建" . | 情报探索 8 . 07 (2023) : 54-61 . |
| APA | 张文德 , 黄佳鑫 , 曾彩凤 . 基于扎根理论的研究生信息资源建设课程改革体系构建 . | 情报探索 , 2023 , 8 (07) , 54-61 . |
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