Research on the Assessment System of Computational Mechanics Courses Based on the TOPSIS Entropy Weight Model

This paper takes the assessment and evaluation of computational mechanics course as the background,and constructs a diversified course evaluation system that is student-centered and integrates both quantitative and qualitative evaluation methods.The system not only pays attention to students’practical operation and theoretical knowledge mastery but also puts special emphasis on the cultivation of students’innovative abilities.In order to realize a comprehensive and objective evaluation,the assessment and evaluation method of the entropy weight model combining TOPSIS(Technique for Order Preference by Similarity to Ideal Solution)multi-attribute decision analysis and entropy weight theory is adopted,and its validity and practicability are verified through example analysis.This method can not only comprehensively and objectively evaluate students’learning outcomes,but also provide a scientific decision-making basis for curriculum teaching reform.The implementation of this diversified course evaluation system can better reflect the comprehensive ability of students and promote the continuous improvement of teaching quality.

Evaluation on Urban Land Ecological Security Based on the PSR Model and Matter-Element Analysis: A Case Study of Zhuhai, Guangdong, China

As one of the Special Economic Zones since the reform and opening up, Zhuhai has developed during the past 30 years. Its economic development, industrial structure and ecological environment have undergone great changes. Research on changes in Zhuhai’s land ecological security is of great significance. Using relevant data from 2007-2012, this study established a land ecological security assessment system based on the PSR conceptual framework model. The system contained 18 indicators from 3 aspects according to the concrete features of Zhuhai. Then we used the matterelement analysis and the improved entropy weight to analyze and evaluate the land ecological security of Zhuhai. The results showed that: from 2007 to 2012, the levels of the land ecological security of Zhuhai were “secure”, and the value increased year by year;as the land ecological security response value increased, Zhuhai was capable of solving land ecosystem problems. However, it should be noted that the structure of land ecosystem in Zhuhai has not formed and that rapid expansion of construction land has caused the shortage of cultivated land and other issues. Measures should be taken to control the construction area, improve land intensive utilization and improve the land ecological security.

Entropy weight coefficient model and its application in evaluation of groundwater vulnerability of the Sanjiang Plain

The research of groundwater vulnerability is the basic work to protect the groundwater. For utilizing groundwater resource continuably, groundwater vulnerability evaluation is necessary. Useful reference to protect, exploit and utilize on groundwater resource are provided rationally. According to the real condition of Sanjiang Plain, the indexes system is established based on the traditional DRASTIC model. The new system includes the following seven indexes： Depth of Water, Net Recharge, Aquifer Media, Soil Media, Conductivity of the Aquifer, Land Utilizing Ratio and Populace Density. The related analysis appears that the system is rather reasonable. Because traditional methods, such as analytic hierarchy process and fuzzy mathematics theory, can＇t be avoided human interference in selection of weights, they could lead to an imprecise result. In order to evaluate the groundwater vulnerability reasonably, entropy weight coefficient method is applied for the first time, which provides a new way to groundwater vulnerability evaluation. The method is a model whose weights are insured by the calculation process, so the artificial disturb can be avoided. It has been used to evaluate the groundwater vulnerability in Sanjiang Plain. The satisfied result is acquired. Comparably, the same result is acquired by the other method named projection pursuit evaluation based on real-coded accelerating genetic algorithm. It shows that entropy weight coefficient method is applicable on groundwater vulnerability evaluation. The evaluation result can provide reference on the decision-making departments.

Application of matter-element analysis based on entropy right to evaluate the pavement condition in permafrost region

Evaluation of pavement performance is one of the most important issues in a pavement-management system.By employing the concept of entropy,the matter-element model for evaluating pavement is established,and the weights of the evaluation indices are obtained from sur-veying data.By calculating the degree of dependence of the matter-element model,the pavement performance evaluation can be obtained by this method.The results show that the matter-element model based on entropy right has good performance for evaluating the pavement condition in permafrost region.

Group Decision-Making Model of Renal Cancer Surgery Options Using Entropy Fuzzy Element Aczel-Alsina Weighted Aggregation Operators under the Environment of Fuzzy Multi-Sets

Since existing selection methods of surgical treatment schemes of renal cancer patients mainly depend on physicians’clinical experience and judgments,the surgical treatment options of renal cancer patients lack their scientifical and reasonable information expression and group decision-making model for renal cancer patients.Fuzzy multi-sets(FMSs)have a number of properties,which make them suitable for expressing the uncertain information of medical diagnoses and treatments in group decision-making(GDM)problems.To choose the most appropriate surgical treatment scheme for a patient with localized renal cell carcinoma(RCC)(T1 stage kidney tumor),this article needs to develop an effective GDM model based on the fuzzy multivalued evaluation information of the renal cancer patients.First,we propose a conversionmethod of transforming FMSs into entropy fuzzy sets(EFSs)based on the mean and Shannon entropy of a fuzzy sequence in FMS to reasonably simplify the information expression and operations of FMSs and define the score function of an entropy fuzzy element(EFE)for ranking EFEs.Second,we present the Aczel-Alsina t-norm and t-conorm operations of EFEs and the EFE Aczel-Alsina weighted arithmetic averaging(EFEAAWAA)and EFE Aczel-Alsina weighted geometric averaging(EFEAAWGA)operators.Third,we develop a multicriteria GDM model of renal cancer surgery options in the setting of FMSs.Finally,the proposed GDM model is applied to two clinical cases of renal cancer patients to choose the best surgical treatment scheme for a renal cancer patient in the setting of FMSs.The selected results of two clinical cases verify the efficiency and rationality of the proposed GDM model in the setting of FMSs.

Cost-benefit Analysis of Scale Pig Breeding in Shandong Province Based on Modified Entropy Weight-TOPSIS Model

According to the relevant statistical data in National Agricultural cost-benefit Data Compilation(2001- 2013),we use the modified entropy weight- TOPSIS model to research the cost-benefit status of scale pig breeding in Shandong Province from the perspective of comparing it with that of the entire country and 9 other main pig producing areas. The results show that compared with the national average,the cost-benefit ratio of small scale pig breeding in Shandong Province is lower,while the cost-benefit ratio of medium scale and large scale pig breeding is significantly improved; the cost-benefit ratio of small scale pig breeding in Shandong Province is basically the same as that in 9 other main pig producing areas,while the cost-benefit ratio of medium scale and large scale pig breeding is higher; the output value of main products and the purchase price of piglet are two major bottlenecks restricting the cost-benefit improvement of scale pig breeding in Shandong Province.

基于Fuzzy Matter-Element模型的电力上市公司财务核心竞争能力评价

鉴于电力上市公司财务核心竞争能力评价的复杂性以及单项指标评价结果的不相容性,本文在模糊物元分析的基础上,将熵权的理论方法与海明贴近度的概念相结合,建立了电力上市公司财务核心竞争能力评价的模糊物元模型。把不同电力企业作为物元的事物,以它们的各项评价指标及相应的模糊量值构造模糊物元,通过计算与理想模糊物元之间的海明贴近度,实现对上市电力公司财务核心竞争能力的综合评价。

Disassemblability Modeling Technology of Configurable Product Based on Disassembly Constraint Relation Weighted Design Structure Matrix(DSM)

The current research of configurable product disassemblability focuses on disassemblability evaluation and disassembly sequence planning. Little work has been done on quantitative analysis of configurable product disassemblability. The disassemblability modeling technology for configurable product based on disassembly constraint relation weighted design structure matrix （DSM） is proposed. Major factors affecting the disassemblability of configurable product are analyzed, and the disassembling degrees between components in configurable product are obtained by calculating disassembly entropies such as joint type, joint quantity, disassembly path, disassembly accessibility and material compatibility. The disassembly constraint relation weighted DSM of configurable product is constructed and configuration modules are formed by matrix decomposition and tearing operations. The disassembly constraint relation in configuration modules is strong coupling, and the disassembly constraint relation between modules is weak coupling, and the disassemblability configuration model is constructed based on configuration module. Finally, taking a hydraulic forging press as an example, the decomposed weak coupling components are used as configuration modules alone, components with a strong coupling are aggregated into configuration modules, and the disassembly sequence of components inside configuration modules is optimized by tearing operation. A disassemblability configuration model of the hydraulic forging press is constructed. By researching the disassemblability modeling technology of product configuration design based on disassembly constraint relation weighted DSM, the disassembly property in maintenance, recycling and reuse of configurable product are optimized.

AModel for the Optimization of the Shale Gas HorizontalWell Section Based on the Combination of Different Weighting Methods in the Frame of the Game Theory

Existing“evaluation indicators”are selected and combined to build a model to support the optimization of shale gas horizontal wells.Towards this end,different“weighting methods”,including AHP and the so-called entropy method,are combined in the frame of the game theory.Using a relevant test case for the implementation of the model,it is shown that the horizontal section of the considered well is in the middle sweet spot area with good physical properties and fracturing ability.In comparison with the FSI(flow scanner Image)gas production profile,the new model seems to display better abilities for the optimization of horizontal wells.

Empirical Research on the Relationship between Education Poverty Alleviation and Rural Revitalization—Spatial Panel Simultaneous Equation Model Based on Provincial Panel Data

On the basis of using entropy weight method to measure China’s education poverty alleviation and rural revitalization evaluation indicators, using the panel data of 30 provinces in China (excluding Xizang, Hong Kong, Macao and Taiwan) from 2012 to 2021, a spatial panel simultaneous equation model is constructed based on adjacency matrix, geographical distance matrix and economic geographical distance matrix deeply study the interaction mechanism and spatial spillover effects between education poverty alleviation and rural revitalization through the generalized spatial three-stage least squares method (GS3SLS). The results indicate that there is a significant spatial spillover effect and a positive spatial correlation between education poverty alleviation and rural revitalization, and there is a significant interactive effect between the two variables, while promoting each other positively. Therefore, the government should clarify the deep relationship between education poverty alleviation and rural revitalization based on the current background, and better consolidate and expand the effective connection between the achievements of education poverty alleviation and rural revitalization.

基于熵权-TOPSIS法的绿色城市发展水平评价研究:以济南市为例

绿色城市是绿色发展理念的载体和新型城镇化高质量发展的目标,开展绿色城市发展水平评价研究具有重要的现实意义。界定绿色城市的内涵,采用驱动力-状态-响应模型,构建绿色城市发展水平评价指标体系,基于济南市2018—2022年间的指标数据,综合运用熵权法和TOPSIS模型展开绿色城市发展水平实证研究。结果表明:研究期内济南市绿色城市发展水平整体表现为上升趋势,现已达到良好水平且进入优化发展阶段。针对性地提出对策与建议,以期为济南市绿色城市发展提供借鉴。

组合赋权法在卷烟机综合性能评价中应用

【目的】客观准确地评价卷烟机设备性能,从质量水平、消耗水平和效能水平3个维度出发,构建设备综合性能评价指标体系和组合赋权评价模型。【方法】利用最大熵原理给出最优组合系数和方案评价计算步骤。开展Topsis方法、层次分析法、熵值法和组合赋权法在卷烟机设备综合性能评价的实例分析和比较工作。【结果】4种方法具有显著正相关关系,评价结果满足一致性。组合赋权法与其他评价方法相比具有最优组合系数和误差平方和小优势。

不同地形梯度下秦巴山区乡村振兴潜力及发展路径

我国山地丘陵地区在空间上相对孤立,乡村发展受到阻碍。开展不同地形梯度下乡村振兴潜力及发展路径研究,旨在为山区因地制宜推进乡村振兴提供理论与科学依据。基于陕南秦巴山区地形差异开展典型村域调研,构建评价指标体系测度乡村振兴潜力,结合相关性与障碍度模型,辨识不同地形梯度下乡村振兴的障碍因素,提出差异化发展建议。结果表明:①各地形梯度下乡村振兴综合潜力由大到小依次为低地形梯度、中低地形梯度、高地形梯度、中高地形梯度,地形梯度与秦巴山区乡村振兴综合潜力及区位条件、基础设施潜力成显著负相关关系;②随着地形梯度的上升,秦巴山区乡村主体、产业发展、人居环境、区位条件、基础设施潜力整体上呈减小趋势,资源禀赋潜力先减小后增大;③不同地形梯度下秦巴山区乡村振兴各维度潜力大小及其障碍因子皆存在明显差异。为优化山区乡村发展模式、全面推进乡村振兴,建议低地形梯度村庄重点防止人口、耕地等农业生产要素流失,中低地形梯度村庄优化基层组织、提升引领能力,中高梯度村庄加强基础设施建设、改善人居环境,高地形梯度村庄充分保护并合理利用林地资源,发展特色产业。

高校大学生实验室安全意识评价模型的构建

为减少实验室安全事故的发生和提高大学生的实验室安全意识,设计了实验室安全意识影响因素调查问卷和大学生实验室安全意识评价调查问卷,利用层次分析法—熵权法(AHP-EWM)主客观相结合的方法建立高校大学生实验室安全意识评价体系。通过主成分分析法(PCA)处理,再选取累计贡献率超过95%的评价指标进行布谷鸟搜索(Cuckoo Search, CS),最后结合混合优化支持向量机(SVM)建立PCA-CS-SVM大学生实验室安全意识评价模型。验证结果表明,与PCA-LS-SVM和PCA-GA-SVM模型相比,PCA-CS-SVM模型的预测值与实际值的误差较小且评价等级与实际值保持一致,具有较高的准确性和可靠性,可用于高校大学生实验室安全意识评价。

中国科学仪器上市企业科技创新能力综合评价

从创新投入、创新环境、创新产出、创新影响4个方面构建科学仪器企业科技创新能力评价指标体系,采用层次分析法、熵权法组合赋权,通过TOPSIS-障碍度模型对科学仪器企业的科技创新能力进行综合评价分析,以42家中国科学仪器上市企业为样本进行实证研究。研究发现目前制约我国科学仪器科技创新能力发展的最主要因素是产学研合作、产品与技术国际专利布局、研发投入等方面存在的问题。鉴于此,应加强以企业为主体的产学研用合作协同创新模式,持续加大研发投入力度,重视技术、软件的开发及知识产权保护等,优化国际市场布局,为科学仪器企业科技创新发展赋能。

考虑洪涝灾害风险的县域应急避难场所选址模型

为提升应急避难场所在灾害管理过程中的服务水平,从洪涝灾害的视角出发,选取致灾因子危险性、孕灾环境敏感性、承载体脆弱性、防灾减灾能力4个指标,采用层次分析法(AHP)-熵权法模型,识别出洪涝灾害风险的空间分布,并将其风险值作为权重引入最小化未覆盖风险,同时,结合最小化加权疏散距离、最小化可达性差异,从公平性、效率性、均衡性视角,构建多目标避难场所选址模型;采用改进的非支配排序遗传算法Ⅱ(NSGA-Ⅱ)求解模型,并以莆田市仙游县现有避难场所布局为例,验证模型。结果表明:对比现有的避难场所布局,优化后的布局方案中总疏散距离、未覆盖风险值及可达性差异性系数分别平均降低35.90%、61.47%、33.62%。

网络视角下航空公司竞争态势及影响因素研究

为剖析疫情时期中国国内主要客运航空公司竞争格局和竞争优势的影响因素,利用TOPSIS-熵值法和修正Huff模型量化航空公司在航线上的竞争优势强度,构建基于优势强度的航空公司-航线赋权二分网络,从网络的视角对航空公司竞争优势市场划分及其静态特征进行研究,利用Tobit回归模型剖析竞争优势的影响因素。研究表明:在疫情时期航空公司多市场接触程度较低,三大航空公司竞争优势明显,其优势在城市分布上差异巨大,主要集中在其基地城市。HU、3U等航空公司在市场竞争中优势不明显,更多表现为竞争且主要围绕沿海二线城市展开;航空公司竞争优势受到多因素共同制约,疫情时期收益更多表示成本控制的能力,低成本航空公司9C相较HU、3C等航空公司更具优势。

区块链技术下垃圾分类管理平台的试验及熵权-云模型评价

文章基于区块链技术(blockchain technology,BT)的去中心化、可溯源性、不可篡改和激励机制4大特征,构建具有积分激励、宣传教育、线上交易和数据溯源功能的区块链技术下垃圾分类管理平台,并选取合肥市某垃圾分类试点小区进行试验,通过2022年1—9月的问卷调查、实地采样和物理组分分析检验平台的垃圾分类管理效果。结果表明:可回收垃圾回收潜力较试验前增长20.4%,厨余垃圾混杂率降低23.5%;截止到9月公众支持率和参与率超95%,违规事件成功溯源率达83.2%。同时文章首次引入熵权-云模型对区块链平台的垃圾分类管理的试验效果进行评价分析,结果表明,S1(1—3月)、S2(4—6月)、S3(7—9月)试验阶段的垃圾分类管理综合确定度分别为2.53、2.66、2.82,综合评价等级分别为Ⅳ(较差)、Ⅲ(中等)和Ⅱ(良好)。区块链技术下垃圾分类管理平台能够解决垃圾分类过程中分类质量差、公众参与度低等普遍性问题,适用于我国强制性垃圾分类的时代要求。熵权-云模型能考虑问卷调查和采样结果的随机性,实现定性概念到定量数据的转变,在垃圾分类管理领域具有创新性和可行性。

基于Rasch模型的船舶舾装效率影响要素分析

针对现有提高舾装效率的研究局限于某一环节,缺乏全面系统性分析,难以客观准确评价各因素影响程度的问题,基于实地考察、专家访谈、问卷调查等方法,综合考虑舾装作业离散型特征,从策划和实施2个阶段分析涉及设计、设备、计划以及人机料法环等8个方面的38个影响舾装效率的因素,采用Vague集-熵权法进行主客观评估,筛选出28个关键因素,并采用Rasch模型方法对影响舾装效率的多重要素进行影响程度定量分析。研究发现:策划阶段对舾装效率的影响程度较大,其中因不可控要素供应链受阻是影响最大的要素。研究表明企业应对策划阶段重点改进;实施阶段对舾装效率影响较小,企业无需投入过多资源改进。

中国省域旅游环境系统服务价值的时空分异及影响因素研究

探究旅游环境系统服务价值的时空分异及影响因素对于科学评估旅游环境系统服务价值,实现旅游业的可持续发展具有重要意义。文章界定旅游环境系统服务价值的内涵,以我国31个省域为研究对象,从经济、生态和社会三个层面构建省域旅游环境系统服务价值指标体系,采用熵权TOPSIS法和空间自相关法对31个省域的旅游环境系统服务价值进行测度和时空分异特征探究,通过地理探测器和地理加权回归模型分析其影响因素。结果表明:(1)2012—2019年,31个省域旅游环境系统服务价值均值在时间层面总体呈上升趋势,2020年因新冠疫情出现轻微下降,2021年有所回升;空间层面上,东、中、西三大区域空间格局差异显著,年均值东部>中部>西部。(2)31个省域旅游环境系统服务价值的全局莫兰指数呈现下降—上升—下降—上升—平稳的小幅波动趋势,存在空间正向集聚效应,且局部自相关集聚模式变化较大。(3)对外经济贸易水平、政府扶持力度和科技投入对旅游环境系统服务价值均为正向影响,高等教育规模呈负向影响,对外经济贸易水平的影响强度由北向南递增,政府扶持力度和高等教育规模的影响强度由西北向东南递增,科技投入的影响强度由西向东递减。