基于AHP-TOPSIS模型的青少年解压玩具产品设计研究

目的 为改善青少年日常生活中产生的负面情绪,提出一种针对青少年基于AHP-TOPSIS混合模型设计解压玩具的方法。方法 首先,根据青少年对解压玩具的需求,基于情感化设计理论进行解压玩具需求要素分析,并构建AHP模型,从“本能层、行为层、反思层”3个方面确定子准则层的14个二级指标,计算各设计因素的综合权重;其次,基于高权重设计因素,设计了3款青少年解压玩具方案;最后,结合TOPSIS(逼近理想解排序法)对3款解压玩具方案进行评分,对初始评价矩阵进行加权标准化处理,计算评价对象的正负理想解及相对贴近度,对3个设计方案进行优选。结论 结合AHP(层次分析法)与TOPSIS(逼近理想解排序法)构建的评价模型,有助于排除主观性影响,从系统与层次等多个角度将设计思考过程进行定性与定量分析,使决策中的设计方案更加科学合理,所分析的产品评价体系、提出的设计策略和方案优选方法可以为青少年解压玩具设计提供清晰、客观的参考。     

A Unified Decision-Making Technique for Analysing Treatments inPandemicContext

The COVID-19 pandemic has triggered a global humanitarian disaster that has never been seen before. Medical experts, on the other hand, are undecided on the most valuable treatments of therapy because people ill with this infection exhibit a wide range of illness indications at different phases of infection. Further, this project aims to undertake an experimental investigation to determine which treatments for COVID-19 disease is the most effective and preferable. The research analysis is based on vast data gathered from professionals and research journals, making this study a comprehensive reference. To solve this challenging task, the researchers used the HF AHP-TOPSIS Methodology, which is a well-known and highly effective Multi-Criteria Decision Making (MCDM) technique. The technique assesses the many treatment options identified through various research papers and guidelines proposed by various countries, based on the recommendations of medical practitioners and professionals. The review process begins with a ranking of different treatments based on their effectiveness using the HF-AHP approach and then evaluates the results in five different hospitals chosen by the authors as alternatives. We also perform robustness analysis to validate the conclusions of our analysis. As a result, we obtained highly corroborative results that can be used as a reference. The results suggest that convalescent plasma has the greatest rank and priority in terms of effectiveness and demand, implying that convalescent plasma is the most effective treatment for SARS-CoV-2 in our opinion. Peepli also has the lowest priority in the estimation.     

Hybrid Computational Modeling for Web Application Security Assessment

Transformation from conventional business management systems to smart digital systems is a recurrent trend in the current era. This has led to digital revolution, and in this context, the hardwired technologies in the software industry play a significant role However, from the beginning, software security remains a serious issue for all levels of stakeholders. Software vulnerabilities lead to intrusions that cause data breaches and result in disclosure of sensitive data, compromising the organizations’ reputation that translates into, financial losses as well. Most of the data breaches are financially motivated, especially in the healthcare sector. The cyber invaders continuously penetrate the E-Health data because of the high cost of the data on the dark web. Therefore, security assessment of healthcare web-based applications demands immediate intervention mechanisms to weed out the threats of cyber-attacks. The aim of this work is to provide efficient and effective healthcare web application security assessment. The study has worked with the hybrid computational model of Multi-Criteria Decision Making (MCDM) based on Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal-Solutions (TOPSIS) under the Hesitant Fuzzy (HF) environment. Hesitant fuzzy sets provide effective solutions to address decision making problems where experts counter hesitation to make a decision. The proposed research endeavor will support designers and developers in identifying, selecting and prioritizing the best security attributes for web applications’ development. The empirical analysis concludes that Robustness got highest priority amongst the assessed security attributes set followed by Encryption, Authentication, Limit Access, Revoke Access, Data Validation, and Maintain Audit Trail. The results of this research endeavor depict that this proposed computational procedure would be the most conversant mechanism for determining the web application security. The study also establishes guidelines which the developers can refer for the identification and prioritization of security attributes to build more secure and trustworthy web-based applications.     

基于三角模糊数的AHP-TOPSIS村庄下开采接续方案优选方法研究

为了研究在保证出煤量的条件下最大程度的减少采空区对村庄建筑的损害,合理安排采煤接续方案的问题。采用综合层次分析法(AHP)结合逼近理想解排序法(TOPSIS)的基础上引入模糊数学理论,建立了村庄下采煤地表建筑物损坏的模糊评价模型。解决了多属性评价指标融合问题和评价指标过硬问题。以辽源矿区龙家堡煤矿村庄下孤岛煤柱开采为例实施了该理论成果并得到了合理的技术结论。     

Network Quality Assessment in Heterogeneous Wireless Settings: An Optimization Approach

The identification of an effective network which can efficiently meet the service requirements of the target, while maintaining ultimate performance at an increased level is significant and challenging in a fully interconnected wireless medium. The wrong selection can contribute to unwanted situations like frustrated users, slow service, traffic congestion issues, missed and/or interrupted calls, and wastefulness of precious network components. Conventional schemes estimate the handoff need and cause the network screening process by a single metric. The strategies are not effective enough because traffic characteristics, user expectations, network terminology and other essential device metrics are not taken into account. This article describes an intelligent computing technique based on Multiple-Criteria Decision-Making (MCDM) approach developed based on integrated Fuzzy AHP-TOPSIS which ensures flexible usability and maximizes the experience of end-users in miscellaneous wireless settings. In different components the handover need is assessed and the desired network is chosen. Further, fuzzy sets provide effective solutions to address decision making problems where experts counter uncertainty to make a decision. The proposed research endeavor will support designers and developers to identify, select and prioritize best attributes for ensuring flexible usability in miscellaneous wireless settings. The results of this research endeavor depict that this proposed computational procedure would be the most conversant mechanism for determining the usability and experience of end-users.     

Impact Assessment of COVID-19 Pandemic Through Machine Learning Models

Ever since its outbreak in the Wuhan city of China, COVID-19 pandemic has engulfed more than 211 countries in the world, leaving a trail of unprecedented fatalities. Even more debilitating than the infection itself, were the restrictions like lockdowns and quarantine measures taken to contain the spread of Coronavirus. Such enforced alienation affected both the mental and social condition of people significantly. Social interactions and congregations are not only integral part of work life but also form the basis of human evolvement. However, COVID-19 brought all such communication to a grinding halt. Digital interactions have failed to enthuse the fervor that one enjoys in face-to-face meets. The pandemic has shoved the entire planet into an unstable state. The main focus and aim of the proposed study is to assess the impact of the pandemic on different aspects of the society in Saudi Arabia. To achieve this objective, the study analyzes two perspectives: the early approach, and the late approach of COVID-19 and the consequent effects on different aspects of the society. We used a Machine Learning based framework for the prediction of the impact of COVID-19 on the key aspects of society. Findings of this research study indicate that financial resources were the worst affected. Several countries are facing economic upheavals due to the pandemic and COVID-19 has had a considerable impact on the lives as well as the livelihoods of people. Yet the damage is not irretrievable and the world’s societies can emerge out of this setback through concerted efforts in all facets of life.     

基于AHP-TOPSIS方法的智能液压设备设计评价研究

目的 为解决智能液压设备设计方案评价主观片面的问题,优选最佳设计方案。方法 根据问卷调研和专家意见初步构建智能液压设备评价指标,建立智能液压设备设计方案评价模型。采用AHP层次分析法从外部形象、生产成本、人机工程、安全可靠4个方面建立4个准则层指标,12个子准则层指标,并通过计算得到各级指标的最终权重结果及排序;再利用TOPSIS逼近理想解排序法对3款四柱永磁粉末液压设备的设计方案进行评价,计算得到贴近度优劣排序,从而确定最优选方案。结论 通过AHP-TOPSIS相结合的定性定量评价方法,评估出最符合企业需求的四柱永磁粉末液压设备设计方案,为四柱永磁粉末液压设备及同类智能液压设备的设计实践和评价提供参考。     

基于AHP-TOPSIS模型的湖南黄金洞尾矿库系统 安全综合评价

针对尾矿库运行过程中存在的安全问题,以湖南省黄金洞尾矿库为研究对象,综合选取影响尾矿库安全运行的指标,采用层次分析法(AHP)与逼近理想排序法(TOPSIS)结合的新模型对此尾矿库进行安全评价。由层次分析法得出评价体系准则层指标和底层指标对尾矿库安全运行的影响程度,利用AHP-TOPSIS模型得出了此尾矿库安全等级属于Ⅱ级(较安全)。其中在准则层中安全管理(0.313 0)和尾矿坝(0.314 2)所占权重较大,对尾矿库的安全运行有相当的重要性;在底层评价指标中坝体尺寸参数符合要求(0.166 4)和安全生产管理机构和制度(0.146 3)所占权重较大,在尾矿库的管理过程中要着重注意。AHP-TOPSIS模型对尾矿库系统安全综合评价得到的结果与实际结果相吻合,评价结果符合生产实际,过程简单,提高了评价的效率和质量。