模糊决策树在电力客户满意度评价中的应用

电力企业要树立“以客户满意为核心”的市场营销观念,建立合理、全面的评价指标体系,计算电力客户满意度指教则显得至关重要．借鉴国内外客户满意度相关理论,从供电质量、服务质量、公司形象与客户关系4个方面构建了电力客户满意度评价指标体系,并通过模糊决策树分析得出模糊规则,以便决策者及时准确地调整服务,提高用户满意度．     

Big Data-enabled Customer Relationship Management: A holistic approach

This paper aims to figure out the potential impact of Big Data (BD) on Critical Success Factors (CSFs) of Customer Relationship Management (CRM). In fact, while some authors have posited a relationship between BD and CRM, literature lacks works that go into the heart of the matter.Through an extensive up-to-date in-depth literature review about CRM, twenty (20) CSFs were singled out from 104 selected papers, and organized within an ad-hoc classification framework. The consistency of the classification was checked by means of a content analysis. Evidences were discussed and linked to the BD literature, and five propositions about how BD could affect CRM CSFs were formalized.Our results suggest that BD-enabled CRM initiatives could require several changes in the pertinent CSFs. In order to get rid of the hype effect surrounding BD, we suggest to adopt an explorative approach towards them by defining a mandatory business direction through sound business cases and pilot tests. From a general standpoint, BD could be framed as an enabling factor of well-known projects, like CRM initiatives, in order to reap the benefits from the new technologies by addressing the efforts through already acknowledged management paths.     

Syntactic based approach for grammar question retrieval

With the popularity of online educational platforms, English learners can learn and practice no matter where they are and what they do. English grammar is one of the important components in learning English. To learn English grammar effectively, it requires students to practice questions containing focused grammar knowledge. In this paper, we study a novel problem of retrieving English grammar questions with similar grammatical focus. Since the grammatical focus similarity is different from textual similarity or sentence syntactic similarity, existing approaches cannot be applied directly to our problem. To address this problem, we propose a syntactic based approach for English grammar question retrieval which can retrieve related grammar questions with similar grammatical focus effectively. In the proposed syntactic based approach, we first propose a new syntactic tree, namely parse-key tree, to capture English grammar questions’ grammatical focus. Next, we propose two kernel functions, namely relaxed tree kernel and part-of-speech order kernel, to compute the similarity between two parse-key trees of the query and grammar questions in the collection. Then, the retrieved grammar questions are ranked according to the similarity between the parse-key trees. In addition, if a query is submitted together with answer choices, conceptual similarity and textual similarity are also incorporated to further improve the retrieval accuracy. The performance results have shown that our proposed approach outperforms the state-of-the-art methods based on statistical analysis and syntactic analysis.     

动态助词“了1”和语气词“了2”的习得比较初探

文章根据对外汉语教学的需要,在HSK动态作文语料库中选取了词语"了"的一部分使用偏误加以调查和归类,并运用"最小树假设"分析了造成动态助词"了1"和语气助词"了2"使用偏误形成的原因,提出了教学上的应对策略。     

龙岩中心城市行道树生长调查及应用研究

在龙岩中心城市行道树的树种种类、数量、规格及生长量实地调查的基础上,对14种主要行道树进行生长量分析比较,综合评价它们的适宜性,结果表明大叶榕、菩提、天竺桂等三种适宜性为优秀,樟树、石栗、洋紫荆、海枣、盆架木、黄花槐、桃花心木、木棉等八种适宜性为良好。为龙岩中心城市行道树种的选择提供依据。     

一种新型的混合查询树防碰撞算法

该算法在混合查询树算法的基础上,利用最高碰撞位和次高碰撞位的组合信息,对标签进行分组,标签根据碰撞位的组合信息,决定其推迟几个时隙进行响应,减少碰撞。性能分析结果表明,该算法优于 QT、HQT 算法,减少了查询次数和系统通信量,标签识别效率明显提高。     

基于最小生成树模型的通信网络铺设方案构建

针对通信网络设计问题,通过有关数据分析,运用最小生成树模型并结合prim算法得出使通信网络的总铺设费用最省的铺设方案,分别考虑通信网络结点与链路的可靠性,对铺设方案进行进一步非线性规划,从而保证通信畅通的结点都能够达到90%。     

基于Bayesian网络的大型油船货油泵透平驱动装置故障诊断

为提高大型油船货油泵透平驱动装置的安全性,保证船舶的正常航行,通过对大型油船货油泵透平驱动装置结构、工况、故障模式的分析研究,建立故障树模型,并通过Bayesian网络对模型进行分析。建立故障诊断系统,并通过案例对模型进行验证。结果表明,将Bayesian网络应用于货油泵透平驱动装置的故障诊断是合理的,模型是可靠的。     

面向决策树目标路径编码的相空间嵌入维优化

提出一种面向决策树目标路径编码的相空间嵌入维计算优化算法。构建云平台环境下的数据交互节点拓扑模型,通过部分链路失效多路径加密方法使得数据聚集具有很高的容错功能,然后采用决策树目标路径编码方案,在给定带宽约束和量化阈值的情况下,对决策树目标路径编码的相空间嵌入维数据进行自适应的量化分解,以实现对决策树目标路径编码的相空间嵌入维的准确估计,降低误码率。仿真结果表明,该算法能准确估计相空间嵌入维,提高估计精度,能有效降低误码率,提高数据动态交互通信的准确性,信号保真度较高。展示了其优越性和较好的应用价值。     

基于多叉树Pareto最优解集的火灾扑救路径规划

提出一种基于多叉树Pareto最优解集的火灾扑救路径规划算法,对火灾现场的环境地图和火灾演化态势进行重构,实现对路径的优选,采用Pareto最优解集,构建基于多叉树Pareto最优解集的火源动态发展态势下的火灾扑救路径规划模型。实验结果表明,该模型能快速实现对火源热点的识别,并且规划路径能有效规避复杂建筑障碍物的干扰,实现对火灾扑救路径的最优选择。在动态未知环境中,对火灾扑救路径的规划和选择能达到最优,路径最短,分段较少,能有效地避免复杂建筑物的阻挡,有效节省了火灾扑救时间。