基于综合集成赋权法的电网物资供应商绩效评价研究

将唯一参照物比较法(主观法)与熵值法(客观法)相结合形成综合集成赋权法作为权重计算方法,构建了电网物资供应商评价指标体系,利用正太分布理论建立分级模型,依据供应商综合评价结果进行分级,并提出对不同种类的供应商制定不同的管理策略。     

基于模糊综合评价的高新技术企业价值评估

针对高新技术企业价值评估的特性,从高新技术企业的成长能力、创新能力、财务评价和管理层面四个方面分析,建立了评估指标体系,运用模糊综合评价法对具体企业进行价值评估。在评估过程中,指标权重的确定使用主观赋权法,并应用熵值法进行调整,以求客观公正。     

基于层次分析法的组合赋权方法的研究

在多属性决策问题的求解过程中,大部分多属性决策方法都涉及到属性权重的确定问题.一般可分为主观赋权法和客观赋权法.为兼顾决策者对属性的偏好,同时又力争减小赋权的主观随意性,进而使决策结果更加客观、可靠,本文以层次分析法为基础提出一种主、客观细合赋权方法.该方法基于属性值的规范化决策矩阵和决策对方案近似估计的区间判断矩阵,提出一种模糊线性规划方法确定属性权重.     

上市公司经营业绩的实验分析

上市公司的经营业绩是股东、债权人和公司员工关注的重要问题,如何正确、公允的评价上市公司的经营业绩,成为财务分析人员的重要工作.目前,对上市公司业绩评价方法主要有单指标法和多指标法.单指标法不能反映特定企业的综合水平,片面性强;多指标法需要对每个指标进行赋权,赋权方法有主观赋权和客观赋权两种.主观赋权主要是通过定性分析分析各指标的相对重要性,这在指标比较少时或许还可行,但当指标比较多时,确定各指标间的相对重要性就有很大的困难,另外主观赋权主观性太强,同样的数据,不同的人会得出不同的结果,因此这种方法在使用上具有局限性.客观赋权主要是运用定量的方法给各指标一定的权数,主要有熵值法、DEA法、因子分析法等.本文根据因子分析法的原理,构建了基于因子分析法的经营业绩评价模型,并以河北省上市公司为对象展开实证研究,为企业经营业绩评价提供有益的探索.     

基于熵权的灰色关联分析方法在供应商选择中的应用研究

为了克服主观赋权法在确定供应商评价指标权重时的主观性,本文借助信息工程学中"熵"的概念,客观地揭示出各评价指标的重要性,从而确定权重,然后用灰色关联分析法对供应商进行排序选择,并给出具体的计算方法和实例分析。     

基于灰色关联分析法在商业银行绩效评估中的实证应用

本文从灰色关联分析法出发。利用熵权法确定权重。在回顾国内有关的商业银行绩效评估文献中确定的指标的基础上．再结合可持续发展指标,选择熵权法这种客观赋权方法来赋予各指标权重,构建一个合理的评价商业银行的营业绩效的方法。     

改进熵值法问题的初探

熵值法是一种客观赋权方法，它通过计算指标的信息熵，根据指标的相对变化程度对系统整体的影响来决定指标的权重，相对变化程度大的指标具有较大的权重，此方法现广泛应用在统计学等各个领域，具有较强的研究价值。但随着社会的发展、科学的进步及我们研究问题的复杂性越来越高，传统的熵值法已经不能完全满足研究的需要，这样就有必要对它进行一定的改进。本文就针对此问题进行了初步探索，并对改进的熵值法和其它客观赋权法的进行了比较。     

基于因子分析法的互联网企业财务综合评价

传统综合评价公司财务实力模型往往采用主观赋权法对各项指标进行综合分析,存在一定的局限性。为更加客观有效进行评估,本文将财务评价体系与因子分析模型有效结合,科学确定各指标权重,选取10家互联网企业,从实例探究的角度为财务信息使用者提供综合评价的定量研究方法,以期企业提高财务能力、优化投融资决策提供有效信息。     

基于信息熵和层次分析的投资项目经济评价研究

投资项目经济评价目标是多属性的,包括经济效益目标,还包括自身价值、生态效益等目标.通过分析主观赋权方法和客观赋权方法的各自优缺点,提出通过将信息熵和层次分析法相结合的方法,将主观赋权方法和客观赋权方法综合运用于多属性投资项目经济评价中,为经济评价方法研究提供了新的理论范式和思路框架.     

上市公司经营业绩的实证分析

上市公司的经营业绩是股东、债权人和公司员工关注的重要问题．如何正确．公允的评价上市公司的经营业绩．成为财务分析人员的重要工作。目前．对上市公司业绩评价方法主要有单指标法和多指标法。单指标法不能反映特定企业的综合水平．片面性强：多指标法需要对每个指标进行赋权．赋权方法有主观赋权和客观赋杈两种。主观赋权主要是通过定性分析分析各指标的相对重要性．这在指标比较少时或许还可行．但当指标比较多时．确定各指标间的相对重要性就有很大的困难．另外主观赋权主观性太强．同样的数据．不同的人会得出不同的结果，因此这种方法在使用上具有局限性。     

项目反应理论在实时网络风险评估中的应用

为提高传统网络风险评估方法的准确性,针对大部分网络风险评估方法未考虑攻击能力值的问题,提出了一种基于项目反应理论的实时网络风险评估方法。该方法利用项目反应理论引入的攻击能力值参数以及服务安全等级参数,对传统攻击威胁值和攻击成功概率计算方法进行改进,并采用三标度层次分析法构建出更准确的服务重要性权重,最终获得符合网络环境的评估态势。仿真结果表明：该方法可以提高评估结果的准确度,并实时地绘制更符合真实网络环境的安全态势图。     

Conflicting Bifuzzy Multi-attribute Group Decision Making Model with Application to Flood Control Project

We propose a group decision making model based on conflicting bifuzzy sets (CBFS) where evaluation are bi-valued in accordance to the subjective assessment obtained from the experts for the positive and negative views. This paper discusses the weighting methods for particular attribute and subattribute with emphasis given to the unification of subjective and objective weights. The integration of CBFS in the model is naturally done by extending the fuzzy evaluation in parallel with the intuitionistic fuzzy. We introduce a new technique to compute the similarity measure, being the degree of agreement between the experts. We end up the paper by demonstrating the applicability of the proposed model to the empirical case of flood control project, one of the project selection problems.     

Deriving Weights from Interval Multiplicative Preference Relations in Group Decision Making

In this article, we investigate group decision making problems with interval multiplicative preference relations (including complete interval multiplicative preference relations and incomplete interval multiplicative preference relations). On the basis of the number of judgments and the consistency degree of each interval multiplicative preference relation, we first give a combined weighting method to derive the weights of decision makers. Then, we establish two linear programming models to derive the weight intervals of alternatives from all individual consistent interval multiplicative preference relations and utilize the continuous ordered weighted averaging operator or the continuous ordered weighted geometric operator to aggregate all the values in each weight interval. In addition, we establish a more general model to check the consistency of all individual interval multiplicative preference relations. In the cases where the optimal objective value of the model is not zero, we can get the optimal weights of alternatives directly, and then utilize these optimal weights and the optimal deviation values derived from the model to construct consistent interval multiplicative preference relations. Furthermore, we discuss some special cases of the established models and illustrate our models with a practical example.     

模糊群决策方法在中间商选择中的应用研究

企业在选择中间商时往往面临着候选伙伴评价指标信息获取的困难,为了使决策科学合理,采用群决策方法集成各领域不同专家的信息,通过语言变量把专家的主观判断转化为对应模糊数,建立相应的数学模型,并计算出用模糊数表示的候选者综合评价值。     

J公司采购评价指标体系实证分析

结合J公司采购现状,针对J公司供应商评价指标体系与方法的不足,采用改进层次分析法的逼近于理想解的排序法综合评判方法,对J公司的供应商评价体系和择优进行相关研究,最后得出了各指标体系的权重。其中,质量、成本、技术、配件及服务和供货这4项指标所占权重最大,而管理文化和安全权重则较低。这与J公司的现有评价指标的设置基本相符。为了公司可持续性发展,公司研究决定将指标体系加入管理文化评价以及安全所评价。公司还成立了专门的部门———安全部,不仅负责本公司的安全评估,也负责供应商的安全评估,并由采购物流部负责供应商管理文化的定期评估。     

Consumers’ subjective and objective consumerism knowledge and subsequent complaint behaviour concerning consumer electronics: a South African perspective

Although there is immense international support for consumer protection, the notion exists that consumer protection can only exist in developed countries with ample fiscal resources and expertise to properly act in the interest of consumers. This conception leaves consumers in emerging and transitional economies in a difficult position as these economies indeed generally lack sufficient funding and the required capacity to educate consumers on their rights. With the South African Consumer Protection Act that came into effect in 2011, South African consumers can now claim to be among the best protected consumers in the world. However, many consumers are still not aware of their consumer rights, and do not have the necessary knowledge to pursue redress when they are dissatisfied. The objective of this research was therefore to explore and describe the relationship between consumers’ knowledge of consumerism (consumer protection) and their consumer complaint behaviour (CCB) concerning their dissatisfaction with a technologically advanced product, in this case, a consumer electronic product. This study attempts to differentiate between subjective consumerism knowledge and objective consumerism knowledge and by extension the measures used. In addition, we explored and described the relationship between demographic variables and levels of subjective and objective consumerism knowledge as well as the combined effect of the two types of knowledge on CCB. The findings revealed that the respondents had a reasonable level of subjective consumerism knowledge relative to a low level of objective consumerism knowledge. No significant relationship was found between subjective consumerism knowledge and demographic variables. However, the factors of race, gender and level of income were related to objective knowledge. A higher level of subjective knowledge could be associated with public action. Respondents with reasonable levels of objective knowledge were also better equipped to take private and public action. CHAID (Chi‐Square Automatic Interaction Detection) analysis highlighted that a combination of subjective and objective knowledge was the best predictor of taking public action only and of taking both private and public complaint action. The study has implications for policy makers, consumer protection organisations, retailers and the individual consumer. Our approach to measuring knowledge of consumerism could possibly be applied in other emerging contexts where consumers generally lack awareness of consumer protection.     

Shaping consumer preference using alignable attributes: The roles of regulatory orientation and construal level

The structural alignment literature suggests that people place more weight on alignable (vs. nonalignable) attributes when evaluating competing options. The present research proposes that consumers' regulatory orientation moderates this process. Specifically, consumers differentially weight alignable versus nonalignable attributes depending on whether they are prevention or promotion-oriented. Results of four studies indicate that prevention-oriented consumers who tend to construe information at a more concrete level rely more on alignable attributes when evaluating two options as compared to promotion-oriented consumers who tend to construe information at a more abstract level, and are influenced more by nonalignable attributes. The authors further show that consumers' construal level and differential ease of processing the two types of attributes mediate the influence of regulatory orientations on their relative weighting of alignable versus nonalignable attributes and product evaluations.     

顾客满意度的TOPSIS算法研究

当今“顾客满意”已经成为现代市场营销的核心。“顾客满意”的理论和实践的发展必然对其提出数量化的处理目标。在建立测评指标体系的基础上,将TOPSIS算法应用于顾客满意度测评体系中,为顾客满意度测评提供一种新的思路和方法。     

Consumer response to uncertain promotions: An empirical analysis of conditional rebates

We formulate, estimate, and analyze a model of consumer response to promotions where consumers' receipt of the promotional reward is uncertain. The model incorporates consumers' risk aversion and their subjective assessment of the probability that they will get the reward. It is used to assess the effectiveness of a “conditional rebate”, where the uncertainty arises because the reward is contingent on an external event, versus a traditional rebate, which is similar in all respects except that it is certain. We estimate the model using a conjoint choice experiment. Response to conditional rebates is highly segmented and related to perceived thinking costs and savings and entertainment benefits of conditional rebates as well as to event involvement and gambling proneness. In our application, conditional rebates are more cost effective than certain rebates, mostly because consumers' subjective probability of the event occurring is higher than what market wisdom suggests.     

An assessment of the effect of fabric conditioner in the final rinse

An objective and subjective assessment of sample fabrics is made from pre-wash through to wash and use of a fabric conditioner in order to determine the physical handling measurements which can be used to assess the perceived output quality from these processes.