利用模糊综合评价实现企业知识水平的量化分析

在知识经济的高技术产业中 ,其知识因素大大超过了物质因素 .企业的经济效益主要取决于知识水平的高低 .从而如何评价企业的知识水平是一个值得认真研究的课题 .知识水平评价体系基本是软的 ,很难确定出具体的指标数量 .本文拟以模糊数学为工具对产品的知识含量进行综合评价 .     

运用AHP方法建立企业劳动岗位测评体系

目前企业大多实行岗位技能工资制。实际操作中，在对如何科学合理地测评劳动岗位的劳动差别，为岗位技能工资制的实施提供合理的基础资料方面存在着一定问题。本运用AHP方法给出了一种受众多半定量或半定性因素影响的企业劳动岗位的量化评价方法，为现代企业运用科学方法量化地确定企业劳动岗位的劳动差别，实现科学管理提供了依据。     

一种供应链中的知识管理绩效评价方法研究

作为知识管理的重要组成部分，知识管理绩效评价旨在帮助企业找出影响绩效提高的关键因素并及时采取有效措施，提高知识管理水平。本文从创造顾客价值、知识的获取能力、知识的共享与传播能力、知识的运用水平、知识的存量水平和知识管理平台等六个方面，分析了评价供应链的知识管理绩效应考虑的主要因素，建立了供应链的知识管理绩效评价指标体系，在此基础上，提出了运用D-S证据推理方法，对供应链知识管理绩效进行评价，并给出了证据推理的算法步骤，最后通过算例分析，说明该方法的有效性、实用性。     

基于ANP的中国东西部技术创新能力比较

介绍了ANP(网络层次分析法)的基本理论,并运用ANP方法建立了区域技术创新能力的评价指标体系,确定了各指标的权值,对北京、上海、广东、重庆、四川、陕西6省市的区域技术创新能力进行了评价,并从知识创造、知识流动、企业的技术创新能力、技术创新环境、技术创新的经济绩效5个方面对它们进行了比较研究.为中国东西部科技政策、科技规划的制定提供了定量依据.     

企业竞争力综合评价物元模型与可拓评价方法

本用可拓学的思想方法建立了企业竞争力综合评价物元模型，给出了基于关联函数的可拓评价方法，对企业竞争力的定性，定量综合评价方法进行了创新性研究。     

怎样上好珠算双语课

用双语讲珠算课这是我国进入了ＷＴ０后，随着社会经济的变革、知识经济时代的到来、知识更新周期日益加速、以及为适应我国珠算事业发展的需要，对珠算教师提出的新的要求。这个要求实质上也就是说如果要当一名与时代相符合的珠算教师，就必须具有终身学习的能力，才能不断更新思想观念，掌握新的信息和教育技术，才能不断更新自己的知识、能力或素质结构，才能适应不断变化的教育、社会和时代，才能不断创新教育以满足人和社会发展的需要。     

竞争态势下的企业技术创新能力评价

企业技术创新能力的评价问题，具有指标量大，同时又具有模糊性的特点。本针对企业技术创新能力评价中存在的问题，构建企业技术创新能力评价的系统指标体系，应用模糊数学中的综合判断方法。对企业技术创新能力进行定量和综合的判断。     

企业经济效益的主成分分析

经济效益是经济工作的中心，提高经济效益是企业经营管理的基本要求。本运用主成分分析法，把评价企业经济效益的多指标转化为少数几个综合指标，抓住复杂经济问题的主要矛盾，为经营、投资提供有价值的参考，为宏观调控和企业的科学管理提供了简明、规范的评价方法。     

基于层次分析法的企业网络舆情危机应对评价研究

网络舆情危机应对评价是企业在新的舆论背景下研究危机应对的重点.采用定量和定性分析有机结合的层次分析法确定指标体系及权重,给出了企业网络舆情危机应对评价的步骤,并进行了评价验证.该评价体系为相关单位网络舆情危机应对评价提供一定的参考和指导.     

搜索引擎定量评价模型研究

搜索引擎性能的评价一般采用定性或定量的方法,在确定搜索引擎评价指标体系的基础上,本文利用模糊多属性决策研究了搜索引擎定量评价问题,为定量评价搜索引擎提供了一种途径.     

Application of consistent fuzzy preference relations in predicting the success of knowledge management implementation

The implementation of knowledge management (KM) involves innovation and reformation for organizations. KM implementation requires not only a substantial investment, but also changes the organization culture and structure. Before embarking on KM, thorough planning is crucial to ensure the implementation achieves the intended objectives of accruing profit and enhancing competitiveness for organisations. Therefore, this study proposes an analytic hierarchical prediction model based on the reciprocal additive consistent fuzzy preference relations to help the organizations become aware of the essential factors affecting the KM implementation, forecasting the chance of successful KM initiative, as well as identifying the actions necessary before implementing KM. Pairwise comparisons are used to determine the priority weights of influential factors and the ratings of two possible outcomes (success and failure) amongst decision makers. The subjectivity and vagueness in the prediction procedures are dealt with using linguistic terms quantified in an interval scale [0, 1]. By multiplying the weights of influential factors and the ratings of possible outcomes, predicted success/failure values are obtained to enable organizations to decide whether to initiate knowledge management, inhibit adoption or take remedial actions to increase the possibility of successful KM project. This proposed approach is demonstrated with a real case study assessed by eleven evaluators solicited from a Liquid Crystal Display (LCD) manufacturing corporation located in Taiwan.     

Knowledge management: a review of the field and of OR's contribution

This paper examines the field of knowledge management (KM) and identifies the role of operational research (OR) in key milestones and in KM's future. With the presence of the OR Society journal Knowledge Management Research and Practice and with the INFORMS journal Organization Science, OR may be assumed to have an explicit and a leading role in KM. Unfortunately, the origins and the evidence of recent research efforts do not fully support this assumption. We argue that while OR has been inside many of the milestones there is no explicit recognition of its role and while OR research on KM has considerably increased in the last 5 years, it still forms a rather modest explicit contribution to KM research. Nevertheless, the depth of OR's experience in decision-making models and decision support systems, soft systems with hard systems and in risk management suggests that OR is uniquely placed to lead future KM developments. We suggest that a limiting aspect of whether OR will be seen to have a significant profile will be the extent to which developments are recognized as being informed by OR.     

An effective krill herd algorithm with migration operator in biogeography-based optimization

Krill herd (KH) is a novel search heuristic method. To improve its performance, a biogeography-based krill herd (BBKH) algorithm is presented for solving complex optimization tasks. The improvement involves introducing a new krill migration (KM) operator when the krill updating to deal with optimization problems more efficiently. The KM operator emphasizes the exploitation and lets the krill cluster around the best solutions at the later run phase of the search. The effects of these enhancements are tested by various well-defined benchmark functions. Based on the experimental results, this novel BBKH approach performs better than the basic KH and other optimization algorithms.     

A cross-national comparison of reform curricula in Korea and the US in terms of cognitive complexity: the case of fraction addition and subtraction

The overall level of conceptual understanding and mathematical proficiency of students has been a matter of increasing national interest in South Korea. Recently, a new edition of mathematics textbooks aligned with the amendment of the 7th national mathematics curriculum has become available for all elementary grade levels. To characterize the current reform efforts in South Korea, this study examined the quality of the mathematical problems in the current version of the Korean reform textbooks (KM 2) compared with the previous version (KM 1) and one representative US reform curriculum text (EM). Webb’s (Research monograph No. 18: Alignment of science and mathematics standards and assessments in four states. National Institute for Science Education, Madison, 1999) depth of knowledge framework and Son and Senk’s (Educ Stud Math 74(2):117–142, 2010) cognitive expectation feature were employed to examine the kind and level of students’ opportunities to learn along with the type of word problems presented in the three sets of materials. Analysis revealed that the KM 2 provided better opportunities for students to learn fraction addition and subtraction than the KM 1 in terms of the depth and breadth of cognitive complexity. However, there was little difference in addressing and developing the meaning of fraction addition and subtraction through word problems. Moreover, compared with the US reform curriculum materials, the KM 2 provided more problems requiring lower depth of knowledge levels than the US counterpart. Implications of these findings for curriculum developers, textbook and learning materials developers, teachers and future researchers are discussed.     

Nonlinear goal programming models quantifying the bullwhip effect in supply chain based on ARIMA parameters

In less than half a century, the supply chain management (SCM) imposed itself as a strategic expertise. Today, it lands a new era, more complex, and must be the synonymous of competitive advantage. The supply chain has essentially served as a link between customers and products, producers and suppliers. The generation of the new supply chain (SC) should be evolutionary, and should be adjusted quickly to the rise or the decrease of the various customers’ demands. Several problems of the supply chain are superimposed such as the amplification of the demand, also called the bullwhip effect (BWE). This latter is a distortion in the market demand when this demand propagates from enterprise to enterprise. Finally, at the end of the chain, the supplier of raw materials receives completely uncertain commands. Our research aims to reduce, or even eliminate, the bullwhip effect in two respects-namely increase of the stock level and reduction of the service given back to customers. The solution that we propose to the bullwhip rests on, firstly, the use of the preference functions based on a statistical chronological series analysis (Box and Jenkins method) in order to construct the different models such as demand, stock level, and the order quantity. Secondly, the integration of the decision maker preference in the demand forecast and inventory management processes.     

Edward L. Kaplan and the Kaplan-Meier Survival Curve

In June 1958, Edward L Kaplan (1920–2006) and Paul Meier (1924–2011) published an innovative statistical method to estimate survival curves when including incomplete observations. The Kaplan–Meier (KM) method became the standard way of reporting patient survival in medical research. For example, the KM method is used in more than 70% of clinical oncology papers. With 44,319 Web of Science® citations as of November 2017, the report has become the most-cited statistics publication in the scientific literature. Part I of this report describes the KM method, its strengths and limitations, and the history and evolution of the method. In Part II we recount the biography of the remarkable mathematician Edward L Kaplan, PhD, and his unique contributions during the formulation of the KM method, as well as his contributions to science during his unique and productive career.     

Men and measures: capturing knowledge requirements in firms through qualitative system modelling

Knowledge Management (KM) is an issue of great and increasing importance in most if not all areas of managerial endeavour. In this paper, we are concerned with the particular practical difficulty within KM of mapping knowledge in a managed system. This is an important practical issue because without a view of the terrain of explicit and tacit knowledge in the managed system, we have little prospect of planning our managerial interaction. Few if any practical methods exist which reflect the strongly systemic nature of business organizations. We begin by establishing our position with regard to the numerous definitions and perspectives of knowledge in managed systems, and indeed in regard to the disagreements that rack KM over the nature of knowledge itself, where it lies and the role of humans as creators, users and guardians of that knowledge. We relate the nature of system knowledge to well-known taxonomies of knowing what, knowing how, knowing why, knowing who together with the integrated from of knowing in the managed system as a whole. The method presented, Systems Based KM (or SBKM), is based on a non-positivist qualitative method deriving from System Dynamics and it is presented through the medium of a case study of a professional firm.     

关于半定规划的一种宽邻域不可行内点算法的注记

针对半定规划的宽邻域不可行内点算法, 将牛顿法和预估校正法进行结合, 构造出适当的迭代方向, 提出一个修正的半定规划宽邻域不可行内点算法, 并在适当的假设条件下, 证明了该算法具有O(\sqrt{n}L)的迭代复杂界．最后利用Matlab编程, 给出了基于KM方向和NT方向的数值实验结果．     

Approximation of centroid end-points and switch points for replacing type reduction algorithms

Despite several years of research, type reduction (TR) operation in interval type-2 fuzzy logic system (IT2FLS) cannot perform as fast as a type-1 defuzzifier. In particular, widely used Karnik–Mendel (KM) TR algorithm is computationally much more demanding than alternative TR approaches. In this work, a data driven framework is proposed to quickly, yet accurately, estimate the output of the KM TR algorithm using simple regression models. Comprehensive simulation performed in this study shows that the centroid end-points of KM algorithm can be approximated with a mean absolute percentage error as low as 0.4%. Also, switch point prediction accuracy can be as high as 100%. In conjunction with the fact that simple regression model can be trained with data generated using exhaustive defuzzification method, this work shows the potential of proposed method to provide highly accurate, yet extremely fast, TR approximation method. Speed of the proposed method should theoretically outperform all available TR methods while keeping the uncertainty information intact in the process.