基于模糊集对分析的老年公寓战略联盟绩效研究

老年公寓战略联盟绩效评价指标复杂,不确定性强,绩效评价受主观因素影响大,传统的评价方法很难对联盟绩效作出合理评价。本文借鉴集对分析理论将确定性和不确定性视为一个系统,运用同、异、反思想,定量计算绩效考核指标与评价标准之间的联系度,构建老年公寓战略联盟模糊集对绩效评价模型,并根据模糊判断矩阵确定评价指标的权重。为保证差异度系数的合理取值,本文采用两种方法对差异度系数进行迭代计算。算例研究结果表明:模糊集对分析可以有效评价老年公寓战略绩效,且为老年公寓联盟绩效评价提供了一种更为科学可行的方法。     

基于区间犹豫模糊集的VIKOR广告方案决策

为帮助企业选择合适的广告方案,因此将区间犹豫模糊集的VIKOR方法用于广告方案评选中。为充分考虑专家意见,引入区间犹豫模糊集,并将其与VIKOR方法相结合,形成一种科学有效的决策方法。文末以例子说明了方法的可行性。     

高档无光凸印花釉的试制

高档无光凸花内墙装饰砖的生产方法与普通的内墙装饰砖一样,只不过是在淋了面釉或印花后再印上一种带艺术效果的无光凸花釉,正常入窑烧成。这种无光凸花釉与普通无光釉结合形成具有自然气息的松树皮、柏树皮等状的树皮装饰砖,还可与普通水晶釉配合,像月光下海岸和阳光下的雪中景色,充满温馨和意境,从而极大地迎合了人们的审美需要。 1 无光凸花釉熔块的烧制 这种无光凸花釉是由一部分熔块与一部分生料配合球磨而成的,其熔块釉式如下:     

基于直觉模糊集TOPSIS法的运输路径选择

运输路径选择是一个多属性决策问题,路径选择的合理化势必对企业的经济效益产生影响。文章根据TOPSIS的价值函数模型,通过对物流运输系统的分析,提取5个影响路径选择的因素,使用直觉模糊集确定属性的指标值和权重,建立一种基于直觉模糊集TOPSIS法的运输路径选择模型。数据实例说明该方法不仅解决了决策过程中出现的模糊性信息,而且还克服了传统评价指标的单一性缺陷,是一种有效、实用的方法,可为解决直觉模糊多属性决策提供新途径。     

基于区间直觉模糊集TOPSIS法的供应商选择

供应商的选择一直是供应链管理的核心和关键,直接影响着整条供应链的运营。文章首先介绍了供应商选择的研究现状,在此基础上构建了供应商选择的评价指标体系,并引入直觉模糊集TOPSIS法进行供应商的选择。最后用一个实例阐述该指标体系和方法的应用,为供应商的选择提供了一种新的方法。     

一种选择较优资产组合的模糊集方法

1952年诺贝尔经济学奖主要获得者马柯维兹运用概率统计和线性代数方法在美国《金融杂志》上发表了题为“资产组合选择”一文,创立了现代资产组合理论。本文在可能选人的资产种类较少情况下,应用模糊集理论,给出了一种较优资产组合选择的模糊分析方法,使得资产组合结果与传统的二次规划法、资产组合有效边界图等相比更加简便和吻合实际。     

基于模糊集对分析的工程供应链供应商选择研究

针对工程供应链供应商选择问题,把模糊集对分析和变异系数法相结合,构建了工程供应链供应商选择评价决策模型,该模型既考虑了决策信息的不确定性,又充分利用了已有决策信息。最后,工程实例计算分析证明了该模型的客观性、实用性。     

基于fsQCA的中概股反做空组态分析北大核心

近年来,中概股被做空的情况愈演愈烈,中概股如何反做空正成为重要的研究议题。本文以被浑水做空的19家中概股公司为样本,运用模糊集定性比较分析方法(fsQCA),从监管环境、公司治理和企业应对三个层面来探索中概股企业反做空成功的若干因素。研究发现:监管环境和信息披露质量对于中概股反做空成功发挥重要作用;在反做空过程中,各个前因条件对反做空结果的影响存在非对称性,中概股需要根据不同情况选择适合的反做空策略应对做空危机。     

防滑凸榫在扶壁式挡土墙中的应用

结合工程实际,对凸榫的防滑机理、设计理论及凸榫构造对挡墙稳定性的影响程度进行了探讨。结果表明,增设凸榫可大幅度提高扶壁式挡墙的抗滑性能,但其对抗倾覆能力的提升影响甚微。另外,凸榫的高度对挡土墙抗滑移稳定性的影响最为敏感,设计中可在满足其他构造要求的条件下适当增大凸榫高度以提高其抗滑稳定性。     

基于直觉模糊集的供应链战略合作伙伴选择

企业建立良好的战略合作伙伴关系可以使供应链产生更强的竞争优势。文章通过对供应链战略合作伙伴的基本原则和影响因素进行分析,建立了合作伙伴的评价指标,运用直觉模糊集广义混合加权集结算子,对合作伙伴选择问题进行了综合评价,并通过实例说明该方法能够很好的解决供应链战略合作伙伴选择的实际问题,具有科学性和可操作性。     

基于区间二型模糊集的VIKOR多属性决策方法研究

针对传统VIKOR方法不能处理不确定语言信息的缺陷,本文在VIKOR方法的基础上提出了一种基于区间二型模糊的VIKOR扩展方法用于解决多属性决策问题。首先介绍了区间二型模糊的概念、运算法则,接着定义了一种新的计算区间二型模糊集之间的距离公式,在此基础上提出基于区间二型模糊的VIKOR扩展方法。最后,通过一个算例说明该方法的有效性和合理性。     

基于L-R型模糊DEA的模型改进

本文首先介绍了前人建立的模糊DEA模型,考虑这些模型存在人为提高效率值、未充分利用模糊信息、计算量过大的问题,建立了一个新的L-R DEA模型,该模型基于α-截集的模糊数变换,将指标集分解为多个指标子集,分别对每个子集进行效率计算,最后应用熵值法确定决策单元(DMU)的最终效率值。该方法可以对DMU进行充分排序,扩大了DEA的应用领域。文末通过一算例来说明新模型的有效性。     

Multiple and Partial Correlation Coefficients of Fuzzy Sets

In many applications, multiple correlation and partial correlation for three or more fuzzy sets are very important, but Chiang and Lin (1999, Fuzzy Sets and Systems 102: 221–226) do not solve this problem. Here, we propose a method to calculate the multiple correlation and partial correlation for fuzzy data, by adopting the concepts from the multivariate correlation model. In order to fit into normal framework, we use empirical logit transform (see, Agresti, [1990, Categorical Data Analysis. New York: Wiley]; Johnson and Wichern, [1992, Applied Multivariate Statistical Analysis 3rd edn. Engelwood Cliffs; Prentice-Hall.]) for membership function grades to achieve this.     

On random fuzzy variables of second order and their application to linear statistical inference with fuzzy data

This paper summarizes some results on random fuzzy variables with existing expectation and variance, called random fuzzy variables of second order. Using the Frechét-principle and – via support functions – the embedding of convex fuzzy sets into a Banach space of functions it especially presents a unified view on expectation and variance of random fuzzy variables. These notions are applied in developing linear statistical inference with fuzzy data. Detailed investigations are presented concerning best linear unbiased estimation in linear regression models with fuzzy observations. Received: November 1999     

Modeling the lockdown relaxation protocols of the Philippine government in response to the COVID-19 pandemic: An intuitionistic fuzzy DEMATEL analysis

The COVID-19 pandemic, which started at Wuhan, has shut down world economies, prompting governments to impose drastic lockdown measures of the economy and the society. As these measures are exhausted, non-COVID-19 related issues such as those associated with the mental and physical well-being of people under lockdowns became an emerging concern. As these issues are evident, not to mention the economic downturn, governments are currently looking at designing lockdown relaxation efforts by simultaneously considering both public health and economic restart. Without documented experiences to rely on, governments are resorting to trial-and-error approach in creating a lockdown exit strategy while preventing succeeding waves of cases that may overwhelm healthcare facilities. Thus, this work pioneers the use of the decision-making trial and evaluation laboratory (DEMATEL) method with intuitionistic fuzzy (IF) sets along with the domain of public health and the emerging COVID-19 pandemic. The DEMATEL handles the intertwined causal relationships among guideline protocols for the relaxation strategy. The intuitionistic fuzzy set theory addresses the vagueness and uncertainty of human judgments in the context of the DEMATEL. A case study of the Philippine government response for the lockdown exit is presented to evaluate the applicability of the proposed method. Findings reveal that compliance of minimum public health standards, limited movement of persons, suspension of physical classes, the prohibition of mass gatherings, non-operation of category IV industries, and non-operation of hotels or similar establishments are the most crucial protocols for such strategy. These findings offer practical insights for the government to allocate resources and impose measures to ensure their implementation, as well as for developing mitigation efforts to cushion their socio-economic impacts. Policy insights and avenues for future works are also discussed.     

基于模糊层次分析法的房地产投资决策研究

房地产投资项目本身具有一定的模糊性,采用模糊层次分析法,建立模糊一致矩阵,判断各方案在各指标下的权重,然后进行排序,为企业的投资决策提供参考。文章以陕西省某房地产企业选址投资为例,验证了此模型的合理性与可行性。     

Necessary and sufficient factors in employee downsizing? A qualitative comparative analysis of lay‐offs in France and the UK, 2008–2013

Embedded in the literature on financialization and institutional approaches, this study is an examination of the causal factors of employee downsizing in two institutionally dissimilar settings, France and the UK, using the fuzzy sets variant of Qualitative Comparative Analysis. The findings show that the roughly equivalent use of large‐scale lay‐offs in the two countries is coupled with strikingly different causal factors. Our argument suggests the importance of complex causation whereby employee downsizing reflects the growing influence of financial considerations in the governance of companies, but its diffusion across countries is shaped by different configurations of institutional arrangements.     

基于模糊层次分析法的房地产投资决策研究

房地产投资项目本身具有一定的模糊性,采用模糊层次分析法,建立模糊一致矩阵,判断各方案在各指标下的权重,然后进行排序,为企业的投资决策提供参考。文章以陕西省某房地产企业选址投资为例,验证了此模型的合理性与可行性。     

An Exploration of Questionnaire Sorting and Fuzzy Sorting

Questionnaire sorting is a concept for sorting mentioned by Coxon [(1999) SORTING DATA. Collection and Analysis. Thousand Oaks: Sage] and Harloff and Coxon [(2005), How to Sort. A Short Guide on Sorting Investigations. www.methodofsorting.com]. The use of questionnaire sorting is detailed herein. A paper questionnaire variant and a HTML form variant are introduced. Their equivalence among each other and with traditional sorting of paper cards is tested for two sets of items. These sets consist of 20 colors and 25 web-site content items. Results from paper questionnaires and HTML forms do not differ significantly. Contradictory results were obtained on the equivalence of paper card sorting and questionnaire sorting, depending on the item sets. Another variant allowing for placement of items in several clusters simultaneously has been termed fuzzy sorting (Harloff and Coxon, 2005, How to Sort. A Short Guide on Sorting Investigations. www.methodofsorting.com). Its first detailed application is given here for both paper card sorting and questionnaire sorting. The difference between results from fuzzy sorting and partition sorting experiments was tested using paired t-tests. The type I error is below 0.01. In contrast to current practice it is therefore advisable to use instructions and a mathematical model for sorting fitting to the methods of subsequent statistical analysis and to the designed domain. Results from two fuzzy sorting experiments are analyzed by fuzzy cluster analysis and network analysis, respectively. Fuzzy sorting and fuzzy cluster analysis provide much more detailed information than the common partition sorting and hierarchical cluster analysis. Network analysis gives valuable information about facet structure. Electronic supplementary material  The online version of this article (doi: ) contains supplementary material, which is available to authorised users.