基于改进模糊综合评判的分销商评价研究

随着制造业逐渐向买方市场转变,供应链分销管理成为企业发展的驱动力之一。分销商在该环节发挥着关键作用,选择和管理分销商的前提是对其进行科学的评价。在回顾分销商评价方法的基础上,提出了基于模糊综合评判的分销商评价模型。针对传统模糊综合评判在指标赋权方面的不足,采用组合赋权法加以改进,首先对多种指标权数计算结果进行事前检验,根据检验结果确定最佳组合方式,然后通过事后检验保证组合权数的合理性。指标权数确定后,再经过因素集与评判集的确定、单因素评判、综合评判等阶段对分销商进行评价。最后将改进方法与传统方法进行了比较分析,并以某大型家电企业为例,验证了该方法能更为合理地解决分销商评价问题。     

大学毕业生综合素质的模糊综合评价

为了建立一套对大学毕业生综合素质进行科学、合理检测的评价体系，本文首先建立了一套反映大学毕业生综合素质的定性与定量相结合的二级指标体系，然后采用专家打分和层次分析法确定了各级指标的权重，再通过对具体同学所对应的各级素质指标进行评价和采用模糊算法计算得到了该同学的综合素质分。该评价体系简单方便，有助于用人单位选拔到合适的人才。     

公路工程评标中的模糊一致矩阵方法

公路工程评标是一项多目标的复杂决策过程,在公路工程多方案分析评价的层次分析决策中应用模糊一致矩阵方法,有效的避开了模糊综合评判中隶属度确定问题.为公路工程评价方案决策这类定性与定量因素并存、正相关与负相关混杂的多因素、多层次评价提供了另一类有效的评判方法,通过公路工程评标方案的分析得到公路工程方案的排序结果,实例分析证明模糊一致矩阵方法是可行的.     

基于混合fuzzy entropy-TOPSIS法的供应链范式选择

针对精益、敏捷、精敏供应链范式选择决策涉及到多种定性指标和定量指标这一特点,提出一种基于模糊集理论、熵和TOPSIS的混合型多属性决策模型。为了避免主观赋权法无法反映客观条件变化,或客观赋权法无法反映专家经验的双重弊端,在对定量指标赋权时,采用主观赋权的三角模糊数法和客观赋权的熵权法对定量指标进行组合赋权。对于定性指标仅依靠三角模糊数法确定其权重。然后,运用fuzzy TOPSIS法选择出最佳的供应链范式。最后通过实例对模型进行验证以及对评价指标权重进行敏感性分析,证实了该模型能为企业选择适用自身运作的供应链范式提供高效方法。     

针对宿舍设计方案的模糊评价模型

通过对宿舍设计方案的分析比较,基于定性和定量相结合的手段建立模糊评价模型.对评价指标赋予适当的评分标准和权重,确定模糊函数.利用MATLAB进行计算,最大可能保证对方案定量评价的准确度,避免了只依赖定性评价的盲目性.     

人机界面的模糊多层次综合评价

人机界面(HCI)是影响多媒体软件设计质量的重要因素之一。由于人机界面设计本身的复杂性,使得对它的评价具有一定的难度。本文提出了采用定性和定量相结合的模糊多层次综合评价方法对软件的人机界面进行评价,并讨论了基于模糊语言的单因素定量评价方法和利用层次分析法(AHP)确定各评价因素的权重。     

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 .     

模糊综合评判在高校排课系统评价中的应用

模糊综合评判是一种应用广泛的模糊数学方法,是在综合考虑和整体平衡中顾及各种因素全面进行评判的科学方法,可广泛应用在各类人员、工作、产品等等客体的综合评判工作中.本文主要采用模糊数学理论对我院排课系统进行综合评价,经确定评判因素集、权重、等级评语向量和评价矩阵等,从而得到了三级模糊综合评判模型.结果表明该模型用于排课系统评估,客观公正,可信度高.     

基于模糊TOPSIS法的职业选择定量分析

由于职业选择受多种因素的影响,且许多因素又具有模糊不确定性,单纯地从定性的角度无法准确清晰地进行选择判断.为解决这一问题,本文运用模糊TOPSIS法对职业选择问题进行定量分析.首先,从个人兴趣爱好、单位的工资收入水平、地理位置、单位性质、发展前景、继续深造的条件和机会、发展机会等,建立职业选择的评价指标体系;然后,采用模糊集理论与专家综合评判相结合的方法求出模糊评价指标的概率并给出所有评价指标的权数;接着,以模糊数学和传统TOPSIS(逼近理想解的排序法)法为基础,建立职业选择评价方法;最后,以某大学生职业选择为例,验证该评价方法的有效性.结果表明,运用模糊TOPSIS法对职业选择定量分析是可行的.     

基于层次分析法-直觉模糊贝叶斯网络的作战保障能力评估

对作战保障综合能力提出一种新的评估方法,对定性指标构建直觉模糊贝叶斯网络模型,通过贝叶斯推理得到静态作战保障能力;对定量指标用层次分析法确定指标权重,得到动态后勤作战保障能力.采用直觉模糊贝叶斯网络和层次分析相结合的综合评价模型,并引入决策者的偏好因子得到作战保障能力的综合评价值.通过实例分析,验证了该方法的合理性以及有效性.     

Group decision making based on novel fuzzy modified TOPSIS method

The aim of this paper is to present a novel fuzzy modified technique of order preference by a similarity to ideal solution (TOPSIS) method by a group of experts, which can select the best alternative by considering both conflicting quantitative and qualitative evaluation criteria in real-life applications. The proposed method satisfies the condition of being the closest to the fuzzy positive ideal solution and also being the farthest from the fuzzy negative ideal solution with multi-judges and multi-criteria. The performance rating values of alternatives versus conflicting criteria as well as the weights of criteria are described by linguistic variables and are transformed into triangular fuzzy numbers. Then a new collective index is introduced to discriminate among alternatives in the evaluation process with respect to subjective judgment and objective information. This paper shows that the proposed fuzzy modified TOPSIS method is a suitable decision making tool for the manufacturing decisions with two examples for the robot selection and rapid prototyping process selection.     

一种折衷型模糊决策模型及其应用

本文针对多属性决策问题,在现有的决策方法基础上提出了一种新的折衷型模糊决策模型,并给出了有关参数的确定方法.最后应用折衷型模糊决策模型对一类飞机选购问题进行了方案的模糊优选决策分析,取得了满意的效果.该决策模型拓展和丰富了多属性决策理论,为解决同时具有定性与定量属性指标结构的多属性决策问题提供了新的有效途径.     

Evaluating and selecting the supplier in detergent production industry using hierarchical fuzzy TOPSIS

Supply chain management has increasingly attracted attention as a systematic approach to integrate the supply chain in order to planning and controlling the materials and information from suppliers to customers. One of the most important issues in supply chain management is selection of the appropriate supplier which has significant effect on purchasing cost decrease and increase in the organization’s competition ability. Selection of the best supplier is naturally complex with no definite structure, and dependent on the type of suppliers’ activity. In the process of decision making about suppliers and many qualitative and quantitative performance indicators such as quality, price, flexibility, and due date should be considered. Then, the supplier selection problem is a multi-criteria decision making problem where numerous methods have been proposed to solve this problem so far. In the current paper, four suppliers of imported raw material “Tripolyphosphate (TPP)” (primary material to produce the detergent powder with a case study in Iran) are evaluated based on 25 effective criteria using the hierarchical fuzzy TOPSIS (HFTOPSIS) approach.     

基于粒子群算法的模糊层次分析法改进及其应用研究

提出了基于粒子群算法(Particle Swarm Optimization)的模糊层次分析法(Fuzzy Analytic Hierarchy Process)模型,简称PSO-FAHP,将模糊判断矩阵一致性的检验、修正及各元素权重值的计算过程转化成非线性带约束系统优化问题,并利用粒子群算法实现了该问题的求解。构建了制造企业供应商选择评价指标体系,最后将该模型应用于制造企业供应商选择评价,结果表明,此模型能有效帮助企业选择较佳的供应商,对供应链构建有一定的指导意义。     

A fuzzy MCDM approach for stock selection

A fuzzy MCDM approach is applied to the stock selection problem, where the proposed approach can deal with qualitative information in addition to quantitative information. A hierarchy of major–sub criteria is then established to reduce the dependence between criteria. The ratings of alternatives versus qualitative sub-criteria and the weights of major- and sub-criteria are assessed in linguistic terms represented by fuzzy numbers. Each sub-criterion is in a benefit, cost, or balanced nature. New standardization methods for fuzzy numbers in the cost and balanced nature are presented. The algorithms of membership functions of the final aggregation are completely developed instead of approximation. The final aggregations in fuzzy numbers are then defuzzified to crisp values in order to rank the performance of alternatives. Moreover, the ratio of market price to performance (PP) is suggested to filter the over/under-pricing of alternatives. A set of buying/selling strategies are recommended according to the performance and PP. An empirical example then demonstrates the processing of the proposed approach.     

模糊多目标群决策在辅导员定量考核中的应用改进

在高等院校中,辅导员考核是一项非常重要的工作,但是由于考核体系指标很多是定性的,给考核工作带来了不小的难度,模糊多目标群决策算法可以解决此问题;考虑到辅导员定量考核的特殊情况,对算法又做了改进,使其更符合实际情况,最后,给出2009年实际考核的例子来验证算法的正确性和有效性.     

Some aspects of intuitionistic fuzzy sets

We first discuss the significant role that duality plays in many aggregation operations involving intuitionistic fuzzy subsets. We then consider the extension to intuitionistic fuzzy subsets of a number of ideas from standard fuzzy subsets. In particular we look at the measure of specificity. We also look at the problem of alternative selection when decision criteria satisfaction is expressed using intuitionistic fuzzy subsets. We introduce a decision paradigm called the method of least commitment. We briefly look at the problem of defuzzification of intuitionistic fuzzy subsets.     

模糊随机环境下的企业综合实力评价模型研究

建立随机环境下的定量指标评价模型、模糊随机环境下的定性指标评价模型和权重为模糊变量的综合评价模型,研究定量评价指标、定性评价指标分别为随机变量和模糊随机变量的企业综合实力评价模型和评价分析方法.最后,以制造业中HX行业的CA企业为例,实证模拟验证了模型的有效性和可操作性.