基于熵权TOPSIS的MTO企业订单重要性判定

在订单进入MTO企业阶段进行订单重要性评价,能够使MTO企业更有效地进行订单接受决策和能力分配管理。针对MTO企业订单进入阶段的订单重要性判定问题,建立了基于熵权TOPSIS法的订单重要性综合评价模型。首先确定了订单重要性评价指标,然后使用熵权法确定评价指标的权重,最后采用TOPSIS方法对订单重要性进行评价。     

基于加权区间数TOPSIS法的大学生职业能力评价

综合文献研究结果,利用专家问卷调查,构建了以学习实践能力、科技创新能力、团队合作能力、人际沟通能力和职业胜任能力五个方面的大学生职业能力评价指标体系。用 AHP法计算出各指标所占权重值。对专家判断的不确定性,评价结果以区间值的形式给出,采用加权区间数TOPSIS法对在校大学生职业能力进行评价,并算例实证出四名大学生职业能力的排序,对大学生职业能力评价提出科学有效的评价方法。     

基于改进TOPSIS法的材料供应商选择评价研究

通过建立科学完善的材料供应商综合评价指标体系,利用定性与定量相结合的方法,采用组合赋权的方式,构建改进TOPSIS数学模型,帮助建筑施工企业选择优秀的材料供应商,经实例分析表明该方法具有一定的可行性。     

技术差距理论框架下产业技术安全测度研究

基于技术差距理论，从全新视角提出产业技术安全理论，改进技术差距率指标，构建包含多项指标的SQE综合评价模型，运用“熵值-灰色关联-TOPSIS”组合模型对产业技术安全进行评价。以2000-2016年世界5G移动通信产业专利数据为样本，对中国5G移动通信产业技术安全进行评价，结果表明：中国5G移动通信产业技术安全总体呈上升趋势，2000-2008年无显著增长，2008-2014年发展迅速。规模分量方面，规模安全总体呈阶梯型上升，安全性不断提高；质量分量方面，安全总体发展缓慢，且呈现先缓慢下降后高速增长；效益分量方面，总体增长缓慢，呈现阶段性波动过程。     

A fuzzy service quality based approach for performance evaluation of educational units

Educational unites try to make efficient use of resources to achieve higher service qualities. This paper presents a new hybrid fuzzy approach based on service quality for performance evaluation of educational units. The proposed approach includes four stages: firstly, evaluation and gap analysis of students' expectations and perceptions in the service quality of educational units are performed based on fuzzy SERVQUAL questionnaires. In the second stage, the corresponding weights of dimensions and sub-dimensions of SERVQUAL are determined via fuzzy AHP method. In the third stage, the educational units are ranked using fuzzy TOPSIS method with respect to service quality sub-dimensions. Finally, a fuzzy DEA method is applied to determine the efficiency of educational units based on their service quality ratings. The approach is used for performance evaluation of eight higher education institutes in Iran. The proposed approach increased the accuracy of performance evaluation of educational units based on service quality.     

中国省际工业绿色化评价及空间差异性研究

从资源消耗绿色化、废物排放绿色化与工业转型绿色化三方面构建工业绿色化评价指标体系，基于2007—2016年30省面板数据和加权TOPSIS方法对中国工业绿色化水平进行评价，并利用泰尔熵指数、基尼系数和变异系数对省际工业绿色化空间差异性进行阐述。结果表明：（1）省际工业绿色化水平由高到低依次为东部地区、中部地区、西部地区和东北地区；东部地区稳中有升，中西部地区相对稳定，东北地区下降趋势显著。（2）省际工业绿色化空间差异性总体变化幅度不大，且以泰尔熵指数、基尼系数与变异系数测度的省际工业绿色化空间差异性变化趋势呈现出明显同步性。（3）通过对泰尔熵指数空间分解发现，地区内的省际工业绿色化空间差异性不断变小，而地区间的省际工业绿色化空间差异性小幅变大。     

Analysing the roadblocks of circular economy adoption in the automobile sector: Reducing waste and environmental perspectives

The automobile industry is one of the most rapidly growing sectors in our society. The increase in demand for vehicles drives the growth of the automobile sector worldwide. Fabrication of vehicles consumes an enormous amount of water, energy and resources, thereby increasing carbon emissions. Nonbiodegradable and manufacturing waste after the end of life usage results in a significant contribution to incineration, landfills, air acidification and water eutrophication. The adoption of circular economy (CE) initiatives can play a significant role in dealing with increasing waste and environmental pollution. The main goal of CE is to recycle and reuse materials to reduce waste and also to minimise environmental impacts. This article strongly supports the adoption of CE in the Indian automobile industry. For the successful adoption of CE in the Indian automobile sector, first, it is important to analyse roadblocks to the adoption. Twenty potential roadblocks towards the adoption of CE have been identified from a literature review and in consultation with experts in the field. To capture the vagueness of the data and to carry out a robust analysis, a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method with Fuzzy theory is employed. The results reveal that roadblock ‘lacking ability to deliver high-quality remanufactured products’ is ranked first among all considered roadblocks. This study will help the Indian automobile industry, decision makers, research practitioners and government officials develop effective strategies for adopting CE in Indian automobile companies. A sensitivity analysis has been conducted to validate the stability of results.     

基于熵权TOPSIS的上市公司财务评价模型及石化行业的实证

从偿债能力、盈利能力、营运能力、成长能力四方面构建了财务评价指标体系;用熵值法确定指标权重,反映了数据本身的离散程度和财务状况的动态变化,避免了人为赋权的主观随意性;用TOPSIS确定评价得分,避免了对样本数量和数据分布的限制。通过基于熵权TOPSIS的财务评价模型对中国石化行业上市公司进行了实证研究,研究结果揭示了各公司财务状况的突出特征和影响评价的主要因素。     

培训外包供应商选择的模糊多属性决策模型

培训外包供应商是企业培训项目的主要实施者,直接影响着企业培训的效果,因此培训外包供应商的选择是企业培训外包决策过程的一个重要环节。本文剖析了影响企业培训外包供应商选择的主要因素,并将模糊数学理论引入决策过程,建立了培训外包供应商选择的模糊多属性决策模型,用三角模糊数来描述属性权重和评价值,并利用模糊TOPSIS方法对候选供应商进行排序。最后,通过实例说明了该模型的应用过程和有效性。     

三峡库区基本公共服务水平的空间差异

在分析三峡库区地区特殊性的基础上,从基本公共服务供给的视角,构建了三峡库区基本公共服务水平评价指标体系,并运用TOPSIS综合评价方法,探讨了三峡库区基本公共服务水平的现状及空间差异。结果表明:就空间格局特征而言,三峡库区的基本公共服务水平与地区经济发展水平正相关;就基本公共服务内容而言,三峡库区的基础教育均等化程度较高,但环境保护和社会保障、医疗卫生和基础设施的地区差异较大。