基于TOPSIS方法的土地利用综合效益评价

在TOPSIS方法下,充分考虑土地投入和土地产出,结合变异系数法确定权重,构造农用地、建设用地和土地利用综合效益评价模型,对我国31个省(市、自治区)2008—2010年的农用地综合效益、建设用地综合效益、土地利用综合效益进行定量评价。研究表明:①我国土地利用效益偏低,2010年全国平均土地利用综合效益值仅约0.28;②我国土地利用"成本投入—效益产出"比过高;③我国地域差异显著,农用地综合效益东北>东部>中部>西部,建设用地综合效益东部>中部>西部>东北。在此基础上,提出了土地高效益利用的对策与建议。     

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。     

P2P 网络借贷平台综合竞争力评价——基于直觉三角模糊数的多属性决策 TOPSIS

P2P 网络借贷是互联网金融创新模式之一,是我国普惠金融的重要组成部分,如何采取 有效方法对 P2P 网络借贷平台综合竞争力进行评价,是引导互联网金融市场健康发展、提高网贷 效率的当务之急。研究以我国 P2P 行业发展特征为基础,结合企业价值链模型,从基本活动与支 持性活动两个维度,选出平台规模、市场情况、企业成长性、财务状况、技术保障、风险控制六 个二级指标,建立了 P2P 网络借贷平台综合竞争力评价指标体系。利用基于三角直觉模糊数的多 属性决策 TOPSIS 评价方法,从实证的角度对民营系、银行系、上市系、国资系、风投系五个类 别的 P2P 网络借贷平台综合竞争力进行优劣排序,最后对平台如何提升自身竞争力提出相关建议。     

基于DEA/TOPSIS组合模型的钢铁企业绿色供应商选择

钢铁企业绿色供应商选择是一个典型的多目标、多准则、非结构化的问题。基于DEA/TOPSIS的组合模型,实现对DEA结果的进一步优选,算例验证了该模型的有效性。组合模型为供应链管理提供了一种新的供应商选择方法。     

对方案有偏好的TOPSIS供应商选择方法

基于供应链合作伙伴关系的概念,提出供应商选择的常用方法,重点研究了TOPSIS法（逼近于理想解的排序方法）在供应商选择中的应用。文章在传统TOPSIS法的基础上,引入了偏好信息为效用值的概念,从而使权重系数的确定兼顾了主客观因素,使得该方法更具实际使用价值。     

基于TOPSIS的城市生态评价——以江苏省为例

在创建"生态市"的大背景下,江苏省各城市在发展经济的同时都加大环境保护力度,提高城市生态质量。通过在PSR框架下建立的城市生态质量评价指标体系,用TOPSIS(理想点)法对江苏省13个主要城市进行生态质量评价和城际差异的实证分析。结果显示:就空间布局而言,苏中生态质量较差,苏北中等,而苏南较好;就具体城市而言,南京生态质量最好,而淮安最差。     

Predicting Efficiency in Angolan Banks: A Two‐Stage TOPSIS and Neural Networks Approach

This paper presents an efficiency assessment of the Angolan banks using Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS). TOPSIS is a multi‐criteria decision‐making technique similar to data envelopment analysis, which ranks a finite set of units based on the minimisation of distance from an ideal point and the maximisation of distance from an anti‐ideal point. In this research, TOPSIS is used first in a two‐stage approach to assess the relative efficiency of Angolan banks using the most frequent indicators adopted by the literature. Then, in the second stage, neural networks are combined with TOPSIS results as part of an attempt to produce a model for banking performance with effective predictive ability. The results reveal that variables related to cost structure have a prominent negative impact on efficiency. Findings also indicate that the Angolan banking market would benefit from higher level of competition between institutions.     

湖南省主体功能区的规划实施绩效评估研究

为合理评价和提升主体功能区规划的实施绩效,从经济效益、社会效应及生态环境3个维度构建了不同主体功能区实施绩效评估指标体系,采用TOPSIS模型和GIS技术建立了绩效评估体系,并以湖南省主体功能区进行了实证研究。研究结果显示:(1)湖南省不同功能区实施绩效结果呈现中、东部高,西北和西南低的空间分布,84个县(市)为中级和良好水平,占全省总县(市)个数比重的68.85%;(2)湖南省实施绩效结果由好到差依次为重点开发区、农产品主产区、生态功能区,应加强对生态功能区的各种政策落实提高实施效果。说明构建的评价体系可反映同一功能区内各县市实施相对绩效,有针对性的找出规划实施影响因素,为规划调整提供参考。     

Comparison of municipalities considering environmental sustainability via neutrosophic DEMATEL based TOPSIS

Considering the increasing risk of various events to the environment, environmental sustainability has taken much more attention both by the academics and practitioners than the other topics. Every organization has its own responsibilities. However, public institutions have a more important role, since they have direct effect on all the community considering environmental sustainability. At this point, the performance evaluation of the municipalities becomes important and enables an effective management by not only indicating the existing status of the municipalities but also revealing the gaps for improvement. Hence, regarding the importance of environmental sustainability and performance evaluation, this study firstly provides the environmental sustainability dimensions with related indicators and presents an integrated methodology based on Neutrosophic Decision Making Trial and Evaluation Laboratory (N-DEMATEL) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for the performance comparison of municipalities. Different from the classical DEMATEL, N-DEMATEL addresses the inherent ambiguity and indeterminacy of decision making process while revealing the importance of factors considering the interaction between them. Afterwards, TOPSIS is used to determine the rank of the municipalities. So as to show the applicability of the proposed methodology, an application is performed in the district municipalities of Istanbul Metropolitan Municipality.     

Local Action Groups and Rural Sustainable Development. A spatial multiple criteria approach for efficient territorial planning

Rural Sustainable Development is a very important topic under the European Union policy, and it is currently promoted through the European Agricultural Fund for Rural Development 2014–2020. This fund is managed at sub-regional level by the Community-Led Local Development approach that involves Local Action Groups in order to promote the objectives of Rural Sustainable Development within rural municipalities. Each Local Action Group applies the Strengths, Weaknesses, Opportunities and Threats analysis in order to identify for its own rural municipalities the strategic elements to which it will allocate the European Agricultural Fund for Rural Development budget. Nevertheless, this analysis has some general shortcomings, including difficulties in managing a large number of Strength and Weakness factors. In addition, the importance of each factor cannot be measured quantitatively, and the same factor may be characterized both as a Strength and a Weakness. Further difficulties may occur in the case of partnerships between different Local Action Groups, such as disagreement about whether a given factor is a Strength or a Weakness, lack of information about the relationships between Strength and a Weakness factors and decision alternatives, as well as impossibility of ranking the decision alternatives.Thus, this research aims to overcome the drawbacks of the Strengths, Weaknesses, Opportunities and Threats analysis and to support Local Action Group partnerships in the sustainability evaluation of their rural municipalities, and therefore to aid the identification of a common Rural Sustainable Development strategy to allocate the European Agricultural Fund for Rural Development budget. This decision problem was tackled by applying a Multiple Criteria Spatial Decision Support System that integrates a Geographic Information System with the Multiple Criteria Decision Aiding methods “Technique for Order Preference by Similarity to Ideal Solution” and “Dominance-based Rough Set Approach”.In order to demonstrate the validity of this methodological approach, this Multiple Criteria Spatial Decision Support System was applied to a study area of thirteen rural municipalities located in Apulia Region (Southern Italy); these municipalities belong to the same landscape unit, but they are managed by five different policy makers that represent the Local Action Groups. The results provided the maps of environmental, economic and social sustainability rankings of rural municipalities as well as their overall sustainability value. Based on these rankings, a specific Rural Sustainable Development strategy was identified for the allocation of the European Agricultural Fund for Rural Development. This methodology provided a common decision making framework that can also be applied to Local Action Group partnerships within the European Union.