熵损失函数下Lomax分布形状参数的Bayes估计

研究了在熵损失函数下,两参数Lomax分布中形状参数的Bayes估计、多层Bayes估计及E-Bayes估计。     

区域性工业产业集聚程度的定量分析与研究——以河南省南阳市为例

区域性产业集聚是经济发展过程中一国产业优化配置的一种表现。通过静态区位熵指数和动态产业集聚指数的计量分析,表明河南省南阳市主要工业产业集聚程度差异比较明显,其中食品制造业从静态和动态两方面都呈现出良好的集聚特征。因此,要发挥南阳市区域性产业集聚的经济带动作用,首先,必须从南阳市本地的实际情况出发,科学制定中长期产业集聚发展规划;其次,采取针对性措施大力促进南阳市食品制造业快速发展;再次,要从构建区域性技术创新网络入手,做大做强南阳市资源型产业。     

从系统论视角探析社会优化的原则及途径

人类社会是一个大的有机系统。随着科学技术的突飞猛进和人类对自然界开发及改造的深入,出现了许多全球性问题,社会系统存在着进一步无序化的危险。而实现社会优化是使人类这个大系统减少熵增、更加有序的有效途径。因此,从系统论的角度来探析社会优化的原则和途径十分必要,且意义重大。     

基于熵理论的科技论文翻译方法和评价模型研究

简要介绍了熵理论并就科技论文的特点着重阐述了如何按照熵概念的基本理论指导、寻求最佳翻译策略,提高科技文体的翻译水平,最后根据熵的性质,按照信息量分布的观点建立翻译评价模型。     

考虑风险偏好和属性约简的熵可靠性决策模型

针对属性值为区间数的大量属性决策问题,提出考虑决策者风险偏好和属性约简的熵可靠性决策模型。首先引入风险偏好因子将决策者进行分类,然后提出基于熵可靠性的属性约简方法并提取有效属性,匹配相应的信息熵权重确定方法和排序方法进行方案排序和择优,通过案例分析验证该方法的科学合理性;并通过选取不同的风险偏好因子,对决策对象排序结果进行灵敏度分析。结果表明随着决策者风险偏好程度的增加,决策属性保留个数递减;最后经算法对比表明该算法考虑决策信息的可靠性,减少信息损失且计算简便。     

Artificial evil and the foundation of computer ethics

Moral reasoning traditionally distinguishes two types of evil:moral (ME) and natural (NE). The standard view is that ME is theproduct of human agency and so includes phenomena such as war,torture and psychological cruelty; that NE is the product ofnonhuman agency, and so includes natural disasters such asearthquakes, floods, disease and famine; and finally, that morecomplex cases are appropriately analysed as a combination of MEand NE. Recently, as a result of developments in autonomousagents in cyberspace, a new class of interesting and importantexamples of hybrid evil has come to light. In this paper, it iscalled artificial evil (AE) and a case is made for considering itto complement ME and NE to produce a more adequate taxonomy. Byisolating the features that have led to the appearance of AE,cyberspace is characterised as a self-contained environment thatforms the essential component in any foundation of the emergingfield of Computer Ethics (CE). It is argued that this goes someway towards providing a methodological explanation of whycyberspace is central to so many of CE's concerns; and it isshown how notions of good and evil can be formulated incyberspace. Of considerable interest is how the propensity for anagent's action to be morally good or evil can be determined evenin the absence of biologically sentient participants and thusallows artificial agents not only to perpetrate evil (and forthat matter good) but conversely to `receive' or `suffer from'it. The thesis defended is that the notion of entropy structure,which encapsulates human value judgement concerning cyberspace ina formal mathematical definition, is sufficient to achieve thispurpose and, moreover, that the concept of AE can be determinedformally, by mathematical methods. A consequence of this approachis that the debate on whether CE should be considered unique, andhence developed as a Macroethics, may be viewed, constructively,in an alternative manner. The case is made that whilst CE issuesare not uncontroversially unique, they are sufficiently novel torender inadequate the approach of standard Macroethics such asUtilitarianism and Deontologism and hence to prompt the searchfor a robust ethical theory that can deal with them successfully.The name Information Ethics (IE) is proposed for that theory. Itis argued that the uniqueness of IE is justified by its beingnon-biologically biased and patient-oriented: IE is anEnvironmental Macroethics based on the concept of data entityrather than life. It follows that the novelty of CE issues suchas AE can be appreciated properly because IE provides a newperspective (though not vice versa). In light of the discussionprovided in this paper, it is concluded that Computer Ethics isworthy of independent study because it requires its ownapplication-specific knowledge and is capable of supporting amethodological foundation, Information Ethics.     

道德序化:企业管理理论创新的主题

管理理论的发展使管理的道德属性得以回归，给管理思想带来了深刻的变革。本文从熵定律出发，应用系统论和耗散结构理论，探讨了企业管理就是追求熵减，因此需创建一种熵减机制——序化结构对管理理论进行创新。管理与伦理的结合是管理理论创新的现实要求，而道德序化则是管理理论创新的主题。     

基于主题模型和专利数据的技术创新评价研究

[目的/意义]专利是企业技术创新活动的重要成果，对专利数据进行分析，有利于客观评价企业技术创新能力。[方法/过程]从计量的角度对企业专利数据进行分析的同时，结合机器学习的方法，通过LDA模型对专利摘要文本进行内容挖掘，构建基于专利文本内容的评价指标，建立由专利数量、专利趋势和专利内容三方面指标组成的技术创新评价体系。[结果/结论]采用熵值法确定各项指标对企业技术创新的影响权重，并通过实验对国内自主品牌制造企业进行技术创新评价，说明了评价方法的现实意义。     

知识共享视角下建筑企业内部专家的评选

为促进建筑企业内部知识共享,提出一套在建筑企业内部评选知识专家的方法。从知识存量、知识价值、知识共享3个维度拟定一个包括3个一级指标、9个二级指标的专家评选指标体系,通过与建筑企业知识管理者面谈的方式得到以上指标的量化方法,并运用结构熵权法确定各指标的权重。用该方法对一个大型建筑企业的内部知识专家进行评选,验证方法的可行性。     

管理系统中的熵理论及利益相关者框架下企业综合绩效的熵值评估法

本文分析了基于复杂性科学的熵增原理与耗散结构理论在企业管理系统中的本质和意义,建立了企业管理耗散结构的形成模型;并在分析传统企业绩效评价方法缺陷的基础上,结合利益相关者理论与熵理论,提出了利益相关者框架下企业综合绩效的熵值评估法,为熵理论、耗散结构理论在企业管理中的应用和企业综合绩效评价提供新的思路。