Comprehensive security risk factor identification for small reservoirs with heterogeneous data based on grey relational analysis model

Identification of security risk factors for small reservoirs is the basis for implementation of early warning systems.The manner of identification of the factors for small reservoirs is of practical significance when data are incomplete.The existing grey relational models have some disadvantages in measuring the correlation between categorical data sequences.To this end,this paper introduces a new grey relational model to analyze heterogeneous data.In this study,a set of security risk factors for small reservoirs was first constructed based on theoretical analysis,and heterogeneous data of these factors were recorded as sequences.The sequences were regarded as random variables,and the information entropy and conditional entropy between sequences were measured to analyze the relational degree between risk factors.Then,a new grey relational analysis model for heterogeneous data was constructed,and a comprehensive security risk factor identification method was developed.A case study of small reservoirs in Guangxi Zhuang Autonomous Region in China shows that the model constructed in this study is applicable to security risk factor identification for small reservoirs with heterogeneous and sparse data.

Using Grey Relational Analysis with Entropy to Predict the International Financial Center of China

The establishment of the China Pilot Free Trade Zone(FTZ) has significantly promoted international trade, financial development, and economic growth. Building international financial centers(IFCs) satisfies the demand for FTZs to facilitate financial development, as well as promoting economic growth. Thus, successfully predicting the next IFC in China under the FTZ framework is an important issue. In this study, we applied grey relational analysis combined with entropy method to predict potential IFCs among seven FTZ cities. According to the results, our interesting findings include: 1) the "total stock turnover", "total value of imports and exports", and "Foreign Direct Investment(FDI)" are key indicators for determining future IFCs; 2) among seven cities, Shenzhen and Tianjin are highly likely to become the next IFCs, while Shanghai is already an IFC.

Similarity evaluation of stratum anti-drilling ability and a new method of drill bit selection

Considering the stratum anti-drilling ability,drill bit working conditions,drill bit application effect and drill bit economic benefits,the similarity of stratum anti-drilling ability was evaluated by grey relational analysis theory to screen out candidate drill bits with reference values.A new comprehensive performance evaluation model of drill bit was established by constructing the absolute ideal solution,changing the relative distance measurement method,and introducing entropy weight to work out the closeness between the candidate drill bits and ideal drill bits and select the reasonable drill bit.Through the construction of absolute ideal solution,improvement of relative distance measurement method and introduction of entropy weight,the inherent defects of TOPSIS decision analysis method,such as non-absolute order,reverse order and unreasonable weight setting,can be overcome.Simple in calculation and easy to understand,the new bit selection method has good adaptability to drill bit selection using dynamic change drill bit database.Field application has proved that the drill bits selected by the new drill bit selection method had significant increase in average rate of penetration,low wear rate,and good compatibility with the drilled formations in actual drilling.This new method of drill bit selection can be used as a technical means to select drill bits with high efficiency,long life and good economics in oilfields.

基于熵值与关联分析法的塔里木河下游区域水面蒸发影响因子敏感性研究

水面蒸发敏感因素的判断,对于干旱区水资源的规划与利用具有重要指导意义。文章以新疆塔里木河下游铁干里克气象站2005年资料为例,对研究区水面蒸发影响因素进行分析。采用熵值法对水面蒸发进行敏感性分析,并与关联分析法分析结果进行对比。结果表明:在塔里木河下游铁干里克地区,温度与风速二因素对水面蒸发影响最为敏感;基于熵值法的敏感因素研究结果与关联分析的结果基本一致。

基于隐性采购成本的多因素供应商选择研究

论述了关于如何更准确选择最佳供应商的问题。针对提前期、交货准时性、采购批量、质量等采购相关因素一般都没有量化计入综合采购成本而被忽略,影响了供应商选择的准确性的情况,提出了包括隐性采购成本在内的综合指标体系,并对量化的隐性采购成本进行了分析计算,计成采购总成本。在比较综合采购成本的基础上,结合供应商评价的其他指标体系,采用熵权灰色关联分析这种实务应用性比较强的方法,来对潜在供应商进行比较选择。实务证明,该方法有效可行。

考虑材料−结构−工艺参数的铆接质量多目标优化设计

为提高铝镁合金压铆接头的铆接质量,本文提出了考虑材料−结构−工艺参数的多目标优化设计方法。首先,通过金属的拉伸和压缩试验,获取了铆钉和铆接板材料的本构模型参数;其次,建立了压铆接头的有限元仿真模型,并对接头的干涉量水平和干涉均匀度进行了分析和评价,将仿真与试验结果对比,验证了仿真的准确性;最后,选取压铆接头的材料、结构和工艺参数为设计变量,以接头的关键测点的相对干涉量、整体平均相对干涉量和相对干涉量标准差系数为优化目标,基于田口稳健性实验设计和灰色相关分析方法,结合熵权法得到的目标响应的权重值对压铆接头进行了一体化多目标优化,得到了各设计变量的最佳参数组合。多目标优化后,压铆接头的整体平均相对干涉量,从1.67%提高到2.36%,提升了41.3%,且优化后的值在航天工业标准推荐的范围内,相对干涉量标准差系数,从67.49%降低到41.0%,降低了39.3%,接头的整体干涉量水平和干涉量均匀度得到了双重提升。

基于α-优势关系的区间值概率粗集模型及应用

区间值序信息系统是单值序信息系统的一种扩充。首先在区间值序信息系统中引出一种新的定义属性对象xj优于xi的概率Pjai,进而在此基础定义α-优势关系和优势类,从而定义了一种新的基于α-优势关系的概率粗糙集模型,继而通过相对熵赋权得到多属性决策问题的综合评价的最优解,最后对皖江城市带的经济发展的5年数据做定量分析,该实例有效地证明了该方法的合理性和科学性。

基于灰色关联分析—随机森林回归的网络平台专利价值评估方法研究

[目的/意义]随着知识产权网络交易平台不断涌现,解决知识产权交易平台中专利价值精准评估问题是提升平台专利交易活跃度的关键。目前专利交易平台大多数仍是采用传统的经济学方法和综合评价法评估专利价值,面对大量专利数据评价实践和效果并不理想;智能化的专利价值评估方法尚处于初步研究阶段,已有模型缺乏对有效专利信息的筛选和利用。[方法/过程]文章构建了包含网络平台特性的专利价值评估指标体系,提出了基于灰色关联分析(GCA)-随机森林回归(RFR)的专利价值评估模型。该模型采用熵值修正G1的灰色关联分析法在专利交易库中筛选高关联度的数据样本,随后对随机森林回归模型进行训练得到专利价值评估结果。[结果/结论]实证研究表明,GCA-RFR模型在网络平台专利价值评估实际应用中具有可行性和适用性,与经济学方法和综合评价法相比客观性更强;与传统的BP神经网络模型相比稳健性更高,可在有限小样本情况下表现出较好的预测效果;且与常规的RFR模型相比也具有较高精准度。

基于灰色关联和因子分析的我国环境污染第三方治理模式有效性评价

在我国的环境治理和保护中,政府大力支持的"谁污染,谁付费"的第三方治理模式的有效性是该模式得以推广应用的前提。区别于以往集中于定性分析第三方治理模式应用的研究,分别选取已采用和尚未采用第三方治理模式的城市作为对比样本,定量分析该模式的有效性。首先通过邓氏灰色关联以及熵值法计算样本城市的灰色关联度并进行城市排序,其次采用因子分析法计算样本城市的环境治理系数并进行城市排序,最后根据Kendall-W系数检验两种方法评价结果的一致性。研究发现,已采用第三方治理模式的样本城市的环境治理改善效果排序上升,说明该模式可以有效减少环境污染,改善城市环境。

基于信息熵和灰色系统理论的区间直觉模糊多属性决策

针对方案属性值为区间直觉模糊数,且属性权重信息完全未知的多属性决策问题,提出了一种基于信息熵的区间直觉模糊熵和灰色关联分析的决策方法。为全面考虑各评价属性权重信息完全未知的情形,首先,利用改进的区间直觉模糊熵确定属性权重,在有效减少评估信息流失的同时,还能真实反映决策者的意愿;然后,依据灰色关联分析理论推演得到灰色关联度公式,结合属性权重计算各方案分别与正、负理想解的灰色关联度;最后,确定各方案的相对关联度,并依此对各方案进行排序。通过信息系统评估的代表性实例分析,验证了所提出方法的可行性和有效性。

主体功能区战略背景下的云南省区域发展绩效评价

在主体功能区战略规划背景下,云南省作为生态文明建设的排头兵,积极响应中央政策,努力实现国土空间的合理利用。论文采用熵值灰色关联分析法对云南省昆明、德宏、普洱等16个州市发展现状进行绩效评价,旨在评价当前云南省主体功能区战略的实施情况并由此提出合理建议。其中,重点开发区绩效评价评分从高到低排名为楚雄、玉溪、昆明、曲靖,限制开发区(农产品主产区)评分从高到低排名为普洱、临沧、保山、红河、德宏、昭通,限制开发区(重点生态功能区)评价评分从高到低排名为大理、丽江、文山、西双版纳、迪庆、怒江,并由此提出相关建议,即:重点开发区应借鉴国外发展经验,调整产业结构,减少能源消耗,提高能源产出,加强环境保护;农产品主产区应保持良好的发展方向,坚持基本农田不动摇的政策,发展特色农业;重点生态功能区应以改善自然环境、保护生物多样性为主要目标,加强第三产业发展,发展生态旅游。

Measuring author influence in scientific collaboration networks

Purpose:The purpose of this paper is to measure author influence in scientific collaboration networks by considering the combined effects of multiple indexes.In the meanwhile,we intend to explore a method to avoid assigning subjective weights.Design/methodology/approach:We applied four centrality measures(degree centrality,betweenness centrality,closeness centrality and eigenvector centrality)and authors’published papers to the scientific collaboration network.The grey relational analysis(GRA)method based on information entropy was used to measure an author’s impact in the collaboration network.The weight of each evaluation index was determined based on information entropy.The ACM SIGKDD collaboration network was selected as an example to demonstrate the practicality and effectiveness of our method.Findings:Author influence was not always positively correlated with evaluation indexes such as degree centrality and betweenness centrality.This implies that combined effects of multiple indexes should be considered in author impact analysis.The introduction of the GRA method based on information entropy can reduce the interference of human factors in the evaluation process.Research limitations:We only analyzed author influence from the perspective of scientific collaboration,but the impact of citation on author influence was ignored.Practical implications:The proposed method can be also applied to detect influential authors in bibliographic co-citation network,author co-citation network,bibliographic coupling network or author coupling network.It would help facilitate scientific collaboration and enhance scholarly communication.Originality/value:This paper proposes an analytical method of evaluating author influence in scientific collaboration networks,in which combined effects of multiple indexes are considered and the interference of human factors is reduced in the evaluation process.

An Advanced Uncertainty Measure Using Fuzzy Soft Sets:Application to Decision-Making Problems

In this paper, uncertainty has been measured in the form of fuzziness which arises due to imprecise boundaries of fuzzy sets. Uncertainty caused due to human’s cognition can be decreased by the use of fuzzy soft sets. There are different approaches to deal with the measurement of uncertainty. The method we proposed uses fuzzified evidence theory to calculate total degree of fuzziness of the parameters. It consists of mainly four parts.The first part is to measure uncertainties of parameters using fuzzy soft sets and then to modulate the uncertainties calculated. Afterward, the appropriate basic probability assignments with respect to each parameter are produced. In the last, we use Dempster’s rule of combination to fuse independent parameters into integrated one. To validate the proposed method, we perform an experiment and compare our outputs with grey relational analysis method. Also,a medical diagnosis application in reference to COVID-19 has been given to show the effectiveness of advanced method by comparing with other method.

基于灰色关联求解权重未知的区间直觉模糊集多属性群决策

针对群决策权重和属性权重都完全未知的区间直觉模糊集多属性群决策问题,首先用可能度公式对属性值的区间得分函数和区间精确函数分别进行比较,建立区间得分函数互补判断矩阵和区间精确函数互补判断矩阵,由此对属性值进行排序。然后通过区间直觉模糊熵计算得到群决策权重和属性权重,并用区间直觉模糊混合平均(IVIFHA)算子集结群决策矩阵,得到综合区间直觉模糊决策矩阵。最后基于灰色关联分析(GRA),先计算备选方案与理想方案的区间数距离,再建立备选方案对理想方案的灰色关联系数和属性加权的区间灰色关联度,确定最终的方案排序。