基于TOPSIS模型的火力发电企业电煤供应商选择评价研究

针对火力发电企业电煤供应商的特点,从成本因素、质量因素、到货因素三个方面,建立了由入厂标准煤单价、收到基恒容低位发热量、空气干燥基灰分、全水分、全硫、合格率、准时交货率、实收重量率8个指标构成的指标体系。采用了层次分析法确定的主观权重、熵权法确定客观权重,得到主观权重和客观权重相结合的组合权重,并使用TOPSIS模型对某火力发电企业的19个电煤供应商做出了评价和选择,对电煤供应商怎样提高竞争力以及火力发电企业对电煤供应商进行管理的重点内容提出了建议。     

深圳市各区居民生活质量评价——基于topsis法的测度

本文从经济、基础设施、基本公共服务三个方面入手,利用TOPSIS法对深圳市六区的居民生活质量进行比较分析。结果表明,原特区内四区居民生活质量显著优胜于原特区外二区,且其内部之间也存在一定差距;经济水平差异并非评价居民生活质量优劣的唯一因素,基础设施的建设、基本公共服务的推进也不可或缺;各区应根据目前发展现状,以优势带动不足,最终达到改善居民生活质量、实现市域均衡发展的目标。     

种植业农户专业化指标体系构建及水平测度*——以张掖市为例

[目的]农业专业化的发展已逐渐成为我国农业生产发展的趋势,而微观农户专业化作为农业专业化发展的首要任务,系统构建其指标体系、量化其发展水平尤为重要。[方法]文章以农业发展较为发达的甘肃省张掖市为研究区域,在获得大量问卷调查数据的基础上,基于组织内部分工、横向分工以及纵向分工视角,从农户家庭内部分工专业化、农产品专业化和生产经营环节专业化3方面构建了现阶段种植业农户专业化评价指标体系,并采用SEM-TOPSIS模型对样本区种植业农户专业化水平进行测度分类。[结果]虽然样本区农户专业化分工水平是低下的,但受农业产业领域分工的影响,绝大多数样本区种植业农户在不同程度存在明显的分工专业化。[结论]当前阶段下,样本区种植业农户专业化发展呈现出农户家庭多种分工形式并存、农产品多样化种植普遍存在以及生产经营社会化服务需求巨大的特征。     

Public service quality evaluation with SERVQUAL and AHP-TOPSIS: A case of Philippine government agencies

This paper proposes an integrated SERVQUAL model, analytic hierarchy process, and technique for order performance by similarity to ideal solution (AHP-TOPSIS) method to evaluate service quality among employment-related government agencies. A case study was conducted in the Philippines to establish critical dimensions attributed to the modified SERVQUAL model investigated covering five government agencies. It is found out that responsiveness dimension needs the most improvement in terms of carrying out quality service while promptness of services is considered as the most important sub-dimension. Furthermore, the proposed approach can enable government administrators to lead its efforts and resources in improving service quality to critical dimensions and sub-dimensions.     

基于AHP-TOPSIS的城市轨道交通应急演练评估研究

为提升演练质量与效果,阐述城市轨道交通应急演练现状,在构建大客流综合处置演练评估指标体系的基础上,将层次分析法AHP与TOPSIS法两者有机结合,建立城市轨道交通应急演练评估模型,以城市轨道交通大客流综合处置演练为例,从协调指挥、信息传递、关键流程控制、运营恢复4个方面综合考虑影响演练效果的评估因素。通过层次分析法得出各指标权重值,采用TOPSIS法进行计算排序,针对参演各班组的演练情况进行排序,实现对城市轨道交通大客流演练的评估。经过实例验证表明,AHP-TOPSIS模型具有良好的适应性与合理性,对各种类型的应急演练评估有很好的应用价值。     

萝北县高标准基本农田建设时序及障碍因素诊断

[目的]研究如何科学有序地进行高标准基本农田建设,并剖析其主要障碍因素是其建设的关键所在。[方法]文章基于多源数据,以高产稳产、高效生产为目标,综合考虑当地农作物生长和农田建设条件,采用理想点逼近法和障碍度模型,进行萝北县高标准基本农田建设时序研究和障碍因素诊断。[结果](1)萝北县高标准基本农田建设主要分为3个建设时期,其中近期建设区主要分布于团结镇东南部、东明朝鲜族乡西北部、凤翔镇南部及肇兴镇西部地区;中期建设区面积较大,占耕地总面积的55.18%,整个研究区内均有分布;远期建设区主要分布在名山镇和鹤北镇北部,其他乡镇边界处有少量分布。(2)该区域建设障碍因素主要集中在基础设施和区位利用条件两个方面,其中沟渠密度在不同建设时期内贡献率均最高,是最主要的障碍因子。(3)不同建设时期内障碍因素的影响程度不同,其建设重点的先后顺序也不同。[结论]建设时序与障碍因素诊断可为区域高标准基本农田建设提供理论依据和可行性参考。     

郑州市水资源承载力综合评价

从水资源、经济、社会和生态环境4个方面选取17个指标构建评价指标体系,使用熵权法确定指标权重,运用TOPSIS模型对郑州市2007—2016年的水资源承载力水平进行综合评价。研究结果表明:(1)样本期内,郑州市水资源承载力综合评价值由0. 3336上升到0. 7007,总体呈稳步上升趋势,水资源承载力等级由"差"提升到"较好";(2)各子系统对水资源综合承载力的贡献逐年上升,其中生态环境子系统和经济子系统的贡献最大,社会子系统贡献相对稳定,而水资源子系统则因郑州市水资源时空分布不均,呈波动变化趋势。     

缅甸高等教育发展水平测度及地区差异比较——基于熵权-TOPSIS模型

从东盟国家缅甸的高等教育水平现状出发,利用SPSS软件,基于熵权-TOPSIS模型,对2014、2015、2016年缅甸各地区的高等教育水平及其差异进行测评与比较.结果发现,缅甸各地区的高等教育发展水平差异性很大,仰光省和曼德勒省的相对接近度最高,内比都市和克伦邦是排名倒数的两个地区,它们与排名第一、第二的仰光省和曼德勒省的高等教育发展水平相比差距很大.因此,缅甸政府相关部门必须予以重视,并利用政策合理调控,以减小这种差距.     

A dynamic decision support system for evaluating peer-to-peer rental accommodations in the sharing economy

Accommodation accounts for one of the biggest expenses while traveling, and deciding where to stay is often confusing and time-consuming. Fortunately, travelers have more options than ever before because of the substantial growth of the peer-to-peer (P2P) short-term rentals in the sharing economy. Designing a user-friendly system that considers travelers’ preferences in choosing the right accommodation can enhance customer satisfaction and increase profitability. We propose a dynamic decision support system based on the theory of multi-criteria decision making to assist travelers in personalizing their preferences and finding quality accommodations in the dominant P2P market that aligns with those preferences. We use the fuzzy best-worst method to measure the intensity of the user’s preferences and the fuzzy technique for order of preference by similarity to the ideal solution (TOPSIS) to score and evaluate alternative P2P rental properties. We present a case study in the P2P rental accommodations industry to demonstrate the applicability of the method proposed in this study.     

Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets

The selection of the appropriate aircraft can bring competitive advantages to airlines, however, there are a number of factors which introduce a degree of uncertainty to the selection process. By removing this uncertainty, airlines can increase their chances of achieving their long-term goals. New Multi-Criteria Decision Making (MCDM) methods provide decision-makers with a satisfactory solution for choosing suitable aircraft. Therefore, we focused on the multi-dimensional evaluation and selection of the most suitable commercial aircraft alternatives by using new MCDM method. This article provides decision support to airline planners on the selection of commercial aircraft under uncertainty. In the study, unlike other studies in the literature on aircraft selection, the model presented here uses an Interval Type-2 Fuzzy Analytical Hierarch Process (IT2FAHP) and Interval Type-2 Fuzzy Technique for Order Preference by Similarity to an Ideal Solution (IT2FTOPSIS) hybrid methods. The proposed model for aircraft selection allows commercial airlines to evaluate the aircraft in terms of specific criteria: economic performance, technical performance, and environmental impact, and, as a result, it helps decision makers select appropriate aircraft in an uncertain environment. In addition to use by commercial airlines, the methods in the study can also be applied to the selection of training aircraft, cargo aircraft and military aircraft. Our findings show that the Airbus A321neo is the most suitable commercial aircraft in terms of technical aspects, economic aspects and environmental aspects for airlines.