共查询到20条相似文献，搜索用时 293 毫秒
1.
随机需求下基于企业社会责任的多准则供应链网络均衡模型研究 总被引：1，自引：0，他引：1
企业社会责任包括经济利益最大化、社会效用最大化和环境污染最小化,通过整合这三个决策目标,构建了随机需求下基于企业社会责任的多商品、多准则供应链网络均衡模型。运用Nash均衡及带权重系数的价值函数分析制造商间、零售商间的非合作竞争行为,描述基于企业社会责任的多目标决策行为;使用商品的销售价格、交易成本及企业社会责任等因素产生的品牌差异、消费者偏好的商品效用函数研究需求市场上产品选择问题,分别得到了供应链各层及整个网络的最优化条件,最后给出具体算例以说明企业社会责任活动对随机需求的供应链网络均衡的影响。 相似文献
2.
结合重大技术装备功能门槛、性能提升、质量阶梯等技术特征,研究重大技术装备用户效用、用户支付意愿、用户质量偏好等用户特征,并与大规模制造产品进行对比分析.对决定用户效用水平的产品质量和用户质量偏好进行函数分析,形成了重大技术装备用户边际效用变动规律的基本认识,揭示了重大技术装备用户效用变动规律对重大技术装备技术创新的影响.本研究深化了重大技术装备创新理论认识,对装备制造企业技术创新实践有指导作用. 相似文献
3.
采用博弈方法,在构造产学研合作博弈收益表的基础上让不同产学研合作组织选择某种交流方式作为策略,并以收益函数为效用函数对产学研合作组织的不同互动合作网络和不同人员采取不同交流方式的协调进行均衡分析。研究发现:对于任意一个产学研合作互动网络,采取相同交流的策略组合是在纳什均衡的条件下,如果网络是完整的,那么这些是可能仅有的纳什均衡;如果网络不完整,那么可能存在交流方式多样化的均衡。而在每个网络内部参与者采取不同交流的策略组合都是在纳什均衡条件下,无论网络是完整还是不完整的,都可能存在交流方式多样化的均衡。接着分析产学研合作初期阶段中,不同人员交流方式的囚徒困境均衡具有历史路径依赖性,并且难以通过内部协调交流方式走出困境,但是可以通过产学研合作组织中不同人员交流方式的协调达到帕累托均衡。 相似文献
4.
由于无线网状网具有多网卡多信道，节点移动性低等特性，使用传统的基于最短路径的移动Ad Hoc网络路由协议并不能获得良好的性能。为此本文提出了一种新的无线网状网路由协议――MEIL算法，通过引入链路干扰度，节点负载度等概念，综合考虑了无线信道的丢包率，链路干扰以及节点的负载等多种重要因素，来确定路由判据，选择链路质量好、干扰小、负载轻的路径来传输数据，有效地提高了网络吞吐量。仿真结果表明，MEIL算法比AODV路由协议和DSDV+ETX算法更适用于无线网状网，在各种业务环境下其吞吐量，时延，到达报文量等性能均具有更好的效果。 相似文献
5.
《Information processing & management》2022,59(1):102737
Substantial real cases can be formed in current online medical platforms, constituting potentially rich commercial medical value. In order to obtain the value, it is necessary to mine the preference for user perceived cancer risk in online medical platforms. However, user preference in the platforms varies with medical inquiry text environments, and a user's disease-specific online medical inquiry text environment would also affect his/her behavioral decisions in real time. In this sense, considering the inner relations between different contexts and user preferences under different diseases-specific inquiry text environments and integrating early cancer texts will facilitate the exploration on the law of preference for user perceived cancer risk. Therefore, in this paper, the matrix decomposition and Labeled-LDA models are expanded to propose a context-based method to access the preference for user perceived cancer risk. Firstly, modeling on the relationship between user preferences and information in multi-dimensional context is carried out, and the universal method of integrating multi-dimensional contextual information with user preferences is analyzed. Moreover, more accurate user references were obtained under the multi-dimensional text space and multi-dimensional disease space. Secondly, the similarity relationships between all disease-specific online medical inquiries and early cancer texts are used to obtain user perceived cancer risk, thus knowing the online medical inquiry texts of user cognized diseases and perceiving the cancer risk. Lastly, by accessing the user preferences under different disease topics and user perceived cancer risk in multi-dimensional contexts, the preference for user perceived cancer risk is obtained in a more accurate way. Based on the large-volume real-world dataset, the relationship between each context and user preferences is assessed, and it is concluded that the method proposed in this paper is superior to MF-LDA method in obtaining the preference for user perceived cancer risk. This indicates that the proposed method not only expresses user perceived risk, but also clearly expresses the characteristics of user's preference. Furthermore, it is verified that the integration of context with early cancer text and the establishment of user preference model are feasible and effective. 相似文献
6.
一种二用户协作HARQ通信方案 总被引：1，自引：0，他引：1
针对协作通信(cooperative communication)的重传问题,提出了在2个用户和基站之间的通信过程中,用户之间如何协作进行混合ARQ(hybrid ARQ)的方案. 通过分时发送机制,每个用户都保存对方上一次发送的数据,在收到基站的ACK/NACK后,根据基站的指示,从存储的上一次发送数据包中,寻找需要重传的数据包,并插入自己需要传送的新数据包,在下一个发送时隙中进行传输. 通过协作通信系统所实现的空间分集增益,提高了HARQ的性能. 比较2个用户分别独立与基站通信和相互协作与基站通信的HARQ方案,并通过理论分析和仿真,比较不同信噪比(SNR)下的吞吐量(throughput)和误包率(PER)以及平均时延,证实了本系统在可提高系统传输时延的前提下,具有更高的吞吐量和更低的PER. 相似文献
7.
在基于802.16j的无线中继网络中,考虑路由和调度的联合优化问题,最小化系统总调度时间. 首先采用线性规划的方法建立路由,进行链路业务速率分配,然后基于平移和交换思想提出一种链路调度算法. 理论分析证明所提算法的性能在最坏情况下,不会超过最优性能的1.5倍. 仿真结果表明,所提算法的平均性能非常接近最优性能. 相似文献
8.
企业网络社群中的顾客契合全面刻画了移动互联网情境下企业与顾客、顾客与顾客间持续性互动、互惠的价值关系。研究以社会偏好理论为基础,采用复杂网络演化博弈的方法,基于小世界网络和无标度网络分别构建企业网络社群中顾客契合的演化博弈模型,并使用MATLAB_8.3编程对网络社群中顾客契合演化均衡及机制进行模拟仿真。研究发现社会偏好对小世界和无标度网络社群中的顾客契合演化都存在规律性驱动作用,强社会偏好的效果更为显著,且两种网络社群中的顾客契合演化机制表现出明显差异性。研究为移动互联网情景下用户群体策略演化及收益分析奠定理论基础,并提出打造深度关系的网络社群、建立社会偏好的激励体系、实施社群的差异化管理等推进有效顾客契合管理的策略建议,从而实现企业平台的多方利益共赢。 相似文献
9.
由于无线网路中链路质量的不稳定、信号的广播传输模式和节点之间存在的相互干扰，针对提高无线网状网络性能的信道分配和路由选择将更加复杂。采用多信道成为一种可选的提高网络容量的方法。本文提出了一种基于2.4GHz 802.11无线网状网络的一种固定信道分配方法，采用了多输入多输出技术使得网络中的数据流以流水线的方式进行传输。在这个场景下多条并行的流可以同时被激活，以此来提升UDP和TCP的传输性能。通过对802.11b网络中1、6和11三个相互不重叠的信道的分配，该信道分配算法在空间上实现邻居节点之间的干扰最小化，其中信道1和11被分配给网状网络的主干传输部分，信道6被分配给用户接入网络。文章最后通过NS2仿真实验，并对本文提出的算法进行了分析。实验结果证明网络的平均吞吐率有大幅度提升，且多跳传输的延迟也被降低。 相似文献
10.
《Information processing & management》2022,59(3):102917
Nowadays, signed network has become an important research topic because it can reflect more complex relationships in reality than traditional network, especially in social networks. However, most signed network methods that achieve excellent performance through structure information learning always neglect neutral links, which have unique information in social networks. At the same time, previous approach for neutral links cannot utilize the graph structure information, which has been proved to be useful in node embedding field. Thus, in this paper, we proposed the Signed Graph Convolutional Network with Neutral Links (NL-SGCN) to address the structure information learning problem of neutral links in signed network, which shed new insight on signed network embedding. In NL-SGCN, we learn two representations for each node in each layer from both inner character and outward attitude aspects and propagate their information by balance theory. Among these three types of links, information of neutral links will be limited propagated by the learned coefficient matrix. To verify the performance of the proposed model, we choose several classical datasets in this field to perform empirical experiment. The experimental result shows that NL-SGCN significantly outperforms the existing state-of-the-art baseline methods for link prediction in signed network with neutral links, which supports the efficacy of structure information learning in neutral links. 相似文献
11.
基于IEEE 802.11 MAC层协议模型,提出一种新颖的能够描述多条路径之间干扰程度的多径路由判据IAMM,并以此为基础,提出一种新的干扰感知的多径路由IAMR协议.IAMR协议通过2次选路,在保证单条路径性能的同时兼顾考虑路径之间的干扰因素.仿真实验表明,IAMR协议在端到端延迟、数据包到达率和吞吐量等方面均有较明显的性能提升. 相似文献
12.
《Information processing & management》2014,50(4):599-620
Query enrichment is a process of dynamically enhancing a user query based on her preferences and context in order to provide a personalized answer. The central idea is that different users may find different services relevant due to different preferences and contexts. In this paper, we present a preference model that combines user preferences, user context, domain knowledge to enrich the initial user query. We use CP-nets to rank the preferences using implicit and explicit user preferences and domain knowledge. We present some algorithms for preferential matching. We have implemented the proposed model as a prototype. The initial results look promising. 相似文献
13.
《Information processing & management》2022,59(1):102755
General recommenders and sequential recommenders are two modeling paradigms of recommender. The main focus of a general recommender is to identify long-term user preferences, while the user’s sequential behaviors are ignored and sequential recommenders try to capture short-term user preferences by exploring item-to-item relations, failing to consider general user preferences. Recently, better performance improvement is reported by combining these two types of recommenders. However, most of the previous works typically treat each item separately and assume that each user–item interaction in a sequence is independent. This may be a too simplistic assumption, since there may be a particular purpose behind buying the successive item in a sequence. In fact, a user makes a decision through two sequential processes, i.e., start shopping with a particular intention and then select a specific item which satisfies her/his preferences under this intention. Moreover, different users usually have different purposes and preferences, and the same user may have various intentions. Thus, different users may click on the same items with an attention on a different purpose. Therefore, a user’s behavior pattern is not completely exploited in most of the current methods and they neglect the distinction between users’ purposes and their preferences. To alleviate those problems, we propose a novel method named, CAN, which takes both users’ purposes and preferences into account for the next-item recommendation. We propose to use Purpose-Specific Attention Unit (PSAU) in order to discriminately learn the representations of user purpose and preference. The experimental results on real-world datasets demonstrate the advantages of our approach over the state-of-the-art methods. 相似文献
14.
15.
分析在不同的市场结构下,不同属性的标准在被采纳过程中,企业与企业之间以及企业与政府之间的博弈行为,并通过相应的博弈模型试图找到不同状况下博弈的纳什均衡解,为标准被顺利采纳提供针对性政策参考。 相似文献
16.
17.
【目的/意义】探究学术社交网络用户使用动机与行为的投射关系,从行为数据中反推使用动机并基于动机
构建群体画像,为平台定位用户群体、挖掘需求偏好提供指导。【方法/过程】首先剖析学术社交网络用户使用动机
的投射过程,明确动机类型及不同动机下行为的投射表达;然后设计用户使用动机画像的总体流程,最后以小木虫
社区为例,采集相应的行为数据进行动机画像的实验分析。【结果/结论】结果表明样本可划分为五类群体,通过类
簇中心与平均用户的对比可从动机视角概括出群体特征标签,解读出用户使用动机及需求偏好。【创新/局限】在变
革用户使用动机的获取方式、发挥动机研究对运营实践指导作用方面进行了创新性尝试,但在细粒度行为数据采
集及不同领域对比分析方面有待进一步研究。 相似文献
18.
[目的/意义]调研知识付费类APP用户需求和用户偏好以及存在的问题,针对存在的问题,构建知识付费类APP服务体系,以期为知识付费类APP的服务建设与发展提供一定的借鉴。[方法/过程]利用调查问卷对用户需求、用户偏好以及知识付费类APP存在的问题进行网络调研,并对调研结果进行分析梳理。[结果/结论]在调研分析的基础上,基于用户需求提出知识付费类APP服务体系的框架与实施策略。 相似文献
19.
[目的]为了研究社交网络以及研究微博网络与微信网络之间舆情的传递过程。[方法]利用无标度有向网络和BA网络分别模拟微博网络和微信网络环境,通过特定的连接关系设计了耦合网络载体,在SEIR模型的基础上,充分分析了用户的传播心理,考虑到了个体具有兴趣衰减效应以及记忆效应等特征,构建了基于耦合网络的社交网络舆情传播模型。[结果]实验结果表明,构建的双层社交网络舆情传播模型能较好地反映现实生活中的舆情传播过程,用户在多层社交网络之间的互动加速了舆情信息的流动,扩大了舆情信息的影响力,层间传播阈值的控制是管理多层社交网络舆情传播的关键。 相似文献
20.
个性化图书推荐主要是以用户特征和借阅行为为挖掘对象,通过获取用户的兴趣特征及隐含的需求模式,实现用户与图书相互关联的个性化图书推荐服务。本文通过挖掘用户的背景信息构建用户特征模型,然后在设计喜好值计算、用户相似度计算和内容相似度计算以及标签信息获取方法的基础上,研究多种不同的图书推荐方法,以挖掘用户的潜在信息需求。最后利用图书馆的真实数据设计面向高校图书馆的个性化图书推荐系统,同时以标准网络数据集通过实验验证来评估推荐方法的有效性。 相似文献