企业核心能力测度的多层次模糊综合评判数学模型

本文以层次分析模型和模糊数学模型为技术 ,对核心能力进行了定量化分析 ,建立了企业核心能力的多层次模糊综合评判数学模型 ,并给出了一个具体的实例分析     

搜索引擎性能的模糊综合评判

搜索引擎性能的评价一般采用定性或定量的方法 ,在给出搜索引擎评价指标体系的基础上 ,讨论了如何在搜索引擎评价问题中使用模糊综合评判方法 ,为定量的评价搜索引擎提供了一种途径 .     

ERP系统实施风险的模糊综合评判

充分考虑了ERP系统实施的风险性,建立了一套用模糊综合评判法评判ERP系统实施风险的指标,并通过实例说明了ERP系统实施风险的模糊综合评判方法.     

定性评价的一种定量评判方法

本在模糊综合评判的基础上进一步用计算关联度的方法，将定性评价问题进行量化评判，提出了具体的量化方法和步骤，具有广泛的实用性。中附有计算实例供参考。     

基于模糊综合评判方法的DEA模型

利用数据包络分析和多目标规划的有关理论,对模糊综合评判方法进行进一步探讨,给出一个建立在模糊综合评判过程基础上的DEA模型,该方法不仅能够增强模糊综合评判结果的客观性,更重要的是它可以找出模糊综合评判中较差单元无效的原因,并能为较差单元的改进提供许多有用的信息。     

非确定信息评价的变权模糊方法

为了将非确定信息定量化,利用三点估计法,确定因素的常权;考虑因素组态对权重的影响,建立因素的变权集;根据区间点估计方法,建立因素的模糊评判矩阵;构造变权的模糊评价模型.应用结果表明,该方法具有科学性和合理性,可为工程非确定性信息评价提供参考.     

基于关联度的灰色模糊综合评判

针对被评判对象的特点,根据灰色模糊数学的理论,将隶属度和灰度综合起来表示灰色模糊数,并结合灰色关联度的应用,建立了基于关联度分析的灰色模糊综合评判的数学模型,此方法能使评判结果更加客观可信.     

模糊数学在企业创新能力评定中的应用

建立了企业创新的系统结构图,并利用模糊综合评价法建立了一个对企业创新能力进行评定的三级模糊综合评判的数学模型,采用层次分析法更加合理的确定了权重的分配,通过实例说明了该模型的使用方法,得到了更有效的结果.     

可重构制造系统重组过程中设备选择模型的研究

根据生产任务选择加工设备进行制造资源重组是实现可重构制造系统的关键问题之一，由于设备的选择涉及到多种因素，既有定量指标，又有定性指标，传统的依靠人工经验的方法显得力不从心。本文首先结合实际情况，提出了一套设备选择评价体系，通过对模糊判断矩阵采用最小对数二乘法确定各评价因素的权重系数，针对定性指标和定量指标采用不同的方法确定其性能指标值，通过模糊积分对评判指标进行综合评判，最后进行了实例研究。所提出的方法有效地简化了决策过程，为可重构制造系统设备选择提供了一套行之有效的方法。     

模糊数学中综合判定方法的一个应用——对领导干部进行数量化诊断的初步研究

<正> 本文利用模糊数学中综合评判的基本思想,建立了对领导干部进行定量化诊断的初步数学模型,并给出了利用电子计算机进行数据处理的一般方法。目的是为党的各级纪检和组织部门寻找一种选拔干部,评定干部的定量化方法,而做一点尝试。     

偏好约束锥DEA模型在工业企业创新效率评价中的应用

为解决工业企业创新活动中的创新效率评价方法不能同时兼顾定量与定性分析的问题,结合现有的创新效率评价的方法,以及评价中既要依赖客观数据又要反映决策者偏好的评价准则特点,构建了带有偏好锥的DEA模型,并建立了相应的创新效率投入产出指标体系.利用该模型和体系对创新效率评价方法进行了研究,最后以重庆市2007年工业企业创新统计数据为依据,对8个不同类型企业的创新效率进行了评价.研究表明:该方法能反映决策者的偏好,解决了定量与定性分析相结合的问题.     

战争设计工程中定性定量相结合方法研究

定性定量相结合方法是战争设计工程的技术基础,如何有效地运用定性定量相结合去解决战争复杂系统的设计问题,是战争设计工程的关键.在战争设计工程的基础上,分析了战争设计工程中定性定量相结合的特点,论述了战争设计工程中定性定量在任务逻辑上、专家上和人与计算机上的分工机制及战争设计工程中定性定量的结合模式,给出战争设计工程解决问题的技术路线.     

基于云模型的定性运算理论与方法

将定性值像定量值一样参与运算和推导,是定性理论走向真正实际应用必须解决的极为关键的研究问题.相关研究提出的方法在此方面均有一定的局限性.本文提出了一种基于云模型的定性运算理论与方法.首先在云模型基本运算的基础上提出了基于云模型的定性关系演算方法,其次提出了基于云模型的一元一次定性方程的求解方法.理论和方法能比较科学合理地计算出定性值,且具有定性与定量相互融合的特点.为定性演算和推导在系统分析和仿真等领域中进一步应用提供了重要的借鉴方法.     

基于部分数据缓冲的GM(1,1)模型预测精度研究

根据灰色系统理论中新信息优先利用原理,在对缓冲算子和数据灰色序∥生成研究的基础上,借用计量经济学虚拟变量的思想,构造一类利用缓冲算子对单调数列部分数据进行灰色序列生成的新方法,有效解决了冲击扰动数据序列在建模预测过程中常常出现的定量预测结果与定性分析结论不符的问题,实例分析表明,这类新的方法能显著提高GM(1,1)模型的预测精度.     

Qualitative and quantitative combined nonlinear dynamics model and its application in analysis of price,supply–demand ratio and selling rate

The qualitative and quantitative combined nonlinear dynamics model proposed in this paper fill the gap in nonlinear dynamics model in terms of qualitative and quantitative combined methods, allowing the qualitative model and quantitative model to perfectly combine and overcome their weaknesses by learning from each other. These two types of models use their strengths to make up for the other’s deficiencies. The qualitative and quantitative combined models can surmount the weakness that the qualitative model cannot be applied and verified in a quantitative manner, and the high costs and long time of multiple construction as well as verification of the quantitative model. The combined model is more practical and efficient, which is of great significance for nonlinear dynamics. The qualitative and quantitative combined modeling and model analytical method raised in this paper is not only applied to nonlinear dynamics, but can be adopted and drawn on in the modeling and model analysis of other fields. Additionally, the analytical method of qualitative and quantitative combined nonlinear dynamics model proposed in this paper can satisfactorily resolve the problems with the price system’s existing nonlinear dynamics model analytical method. The three-dimensional dynamics model of price, supply–demand ratio and selling rate established in this paper make estimates about the best commodity prices using the model results, thereby providing a theoretical basis for the government’s macro-control of price. Meanwhile, this model also offer theoretical guidance to how to enhance people’s purchasing power and consumption levels through price regulation and hence to improve people’s living standards.     

The impact of using multiple modalities on students’ acquisition of fractional knowledge: An international study in embodied mathematics across semiotic cultures

Principled by the Embodied, Situated, and Distributed Cognition paradigm, the study investigated the impact of using a research-based curriculum that employs multiple modalities on the performance of grade 5 students on 3 subscales: concept of unit, fraction equivalence, and fraction comparison. The sample included five schools randomly selected from a population of 14 schools in Lebanon. Eighteen 5th grade classrooms were randomly assigned to experimental (using multimodal curriculum) and control (using a monomodal curriculum) groups. Three data sources were used to collect quantitative and qualitative data: tests, interviews, and classroom observations. Quantitative data were analyzed using two methods: reliability and MANOVA. Results of the quantitative data show that students taught using the multimodal curriculum outperformed their counterparts who were instructed using a monomodal curriculum on the three aforementioned subscales (at an alpha level = .001). Additionally, fine-grained analysis using the semiotic bundle model revealed different semiotic systems across experimental and control groups. The study findings support the multimodal approach to teaching fractions as it facilitates students’ conceptual understanding.     

The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties

Many multiple attribute decision analysis (MADA) problems are characterised by both quantitative and qualitative attributes with various types of uncertainties. Incompleteness (or ignorance) and vagueness (or fuzziness) are among the most common uncertainties in decision analysis. The evidential reasoning (ER) approach has been developed in the 1990s and in the recent years to support the solution of MADA problems with ignorance, a kind of probabilistic uncertainty. In this paper, the ER approach is further developed to deal with MADA problems with both probabilistic and fuzzy uncertainties.In this newly developed ER approach, precise data, ignorance and fuzziness are all modelled under the unified framework of a distributed fuzzy belief structure, leading to a fuzzy belief decision matrix. A utility-based grade match method is proposed to transform both numerical data and qualitative (fuzzy) assessment information of various formats into the fuzzy belief structure. A new fuzzy ER algorithm is developed to aggregate multiple attributes using the information contained in the fuzzy belief matrix, resulting in an aggregated fuzzy distributed assessment for each alternative. Different from the existing ER algorithm that is of a recursive nature, the new fuzzy ER algorithm provides an analytical means for combining all attributes without iteration, thus providing scope and flexibility for sensitivity analysis and optimisation. A numerical example is provided to illustrate the detailed implementation process of the new ER approach and its validity and wide applicability.     

Using TODIM to evaluate green supply chain practices under uncertainty

This study approaches the problem of exploring the importance and performance levels in green supply chain practices (GSCP) under conditions of uncertainty. This contribution creates a mechanism that assists in the process of analyzing and selecting the alternatives aligned with the proposed criteria on both the qualitative and quantitative scales. This analysis uses the acronym from the interactive and multi-criteria decision-making method (known as TODIM in Portuguese), a discrete multi-criteria method based on prospect theory. However, the criteria weights and alternatives are described as linguistic preferences and involve quantitative data. The qualitative preferences transformed into crisp values and the quantitative data converts into comparable scale. The results indicate the discrepancies between the importance and performance levels of the GSCP. This study identified set of principal criteria that can influence the recommendations for strategic direction in the most systematic and wide-ranging manner.     

Understanding the concepts of proportion and ratio among grade nine students in Malaysia

The purpose of the study was to investigate the concepts of ratio and proportion constructed by grade nine students by investigating grade nine students proportional reasoning schemes and procedures on three types of tasks: missing value, numerical comparison and qualitative reasoning. Comparisons among the different categories were made and the strategies used in solving these problems were identified. The relationship between student grades on a national examination and their knowledge of proportional reasoning was determined. The results of the quantitative analysis indicated that students performed generally well on the missing value tasks but their scores on the numerical comparison and qualitative tasks were much lower. The results indicate that only a small percentage of students who did well on the national exams were able to solve complex proportional problems and the grades obtained were not indicative of their knowledge of ratio and proportion. The difficulty experienced by the ninth graders indicated that students frequently used additive reasoning, that is a comparison of two numbers by subtraction rather than division. It appears that students cannot begin to understand the functional and scalar relationship inherent in a proportion until they first develop multiplicative reasoning.     

Basic modelling of uncertainty: young students’ mental models

This paper focuses on a research programme that aims to explore students?? mental models when acting within elementary situations of uncertainty before stochastics have been addressed in school. In order to frame our research, we begin by reporting briefly on the recent history of research in stochastics education. Then, we discuss the main aspects of our theoretical foundation concerning the research programme. Afterwards we restrict our discussion to an exploratory study aiming to further develop our theoretical framework, describing the development of tasks representing situations of uncertainty and the method of the exploratory study involving students of grade 4 and grade 6. Finally, from the perspective of theory development, we discuss the results of analysing students?? solutions gained through quantitative analysis of tests and qualitative analysis of written rationales and of interviews. We conclude our paper with a discussion of our research results and potential future research questions.