The Research on the Impact Factors of the Comprehensive Evaluation of Communication Unit Camps Based on Analytic Hierarchy Process

Currently, the comprehensive assessment of the communication troops’ camp planning project is primarily qualitative, with limited quantitative evaluation. Drawing upon the relevant spirit of the Military Commission’s documents and leveraging the author’s own work experience in branch offices, this article thoroughly explores the factors influencing the comprehensive assessment of the project and proposes quantitative representation methods for these factors. Utilizing the Analytic Hierarchy Process (AHP), a hierarchical structure model and judgment matrix for the evaluation factors of the communication troops’ camp construction planning project are constructed, enabling the determination of the weightage of each factor. This provides a certain level of support and reference for the project approval and management by branch offices, while also offering valuable insights for the approval and management of camp planning and construction projects in other types of troops and battlefield projects.

Marginal optimization method to improve the inconsistent comparison matrix in the analytic hierarchy process

To improve the inconsistency in the analytic hierarchy process(AHP), a new method based on marginal optimization theory is proposed. During the improving process, this paper regards the reduction of consistency ratio(CR) as benefit, and the maximum modification compared to the original pairwise comparison matrix(PCM) as cost, then the improvement of consistency is transformed to a benefit/cost analysis problem. According to the maximal marginal effect principle, the elements of PCM are modified by a fixed increment(or decrement) step by step till the consistency ratio becomes acceptable, which can ensure minimum adjustment to the original PCM so that the decision makers’ judgment is preserved as much as possible. The correctness of the proposed method is proved mathematically by theorem. Firstly, the marginal benefit/cost ratio is calculated for each single element of the PCM when it has been modified by a fixed increment(or decrement).Then, modification to the element with the maximum marginal benefit/cost ratio is accepted. Next, the marginal benefit/cost ratio is calculated again upon the revised matrix, and followed by choosing the modification to the element with the maximum marginal benefit/cost ratio. The process of calculating marginal effect and choosing the best modified element is repeated for each revised matrix till acceptable consistency is reached, i.e., CR<0.1. Finally,illustrative examples show the proposed method is more effective and better in preserving the original comparison information than existing methods.

A consistency improving method in the analytic hierarchy process based on directed circuit analysis

Test of consistency is critical for the analytic hierarchy process(AHP) methodology. When a pairwise comparison matrix(PCM) fails the consistency test, the decision maker(DM) needs to make revisions. The state of the art focuses on changing a single entry or creating a new matrix based on the original inconsistent matrix so that the modified matrix can satisfy the consistency requirement. However, we have noticed that the reason that causes inconsistency is not only numerical inconsistency, but also logical inconsistency, which may play a more important role in the whole inconsistency. Therefore, to realize satisfactory consistency, first of all, we should change some entries that form a directed circuit to make the matrix logically consistent, and then adjust other entries within acceptable deviations to make the matrix numerically consistent while preserving most of the original comparison information. In this paper, we firstly present some definitions and theories, based on which two effective methods are provided to identify directed circuits. Four optimization models are proposed to adjust the original inconsistent matrix. Finally, illustrative examples and comparison studies show the effectiveness and feasibility of our method.

Susceptibility assessment of debris flows using the analytic hierarchy process method——A case study in Subao river valley, China

Many debris flows have occurred in the areas surrounding the epicenter of the Wenchuan earthquake. Susceptibility assessment of debris flows in this area is especially important for disaster prevention and mitigation. This paper studies one of the worst hit areas, the Subao river valley, and the susceptibility assessment of debris flows is performed based on field surveys and remote sensing interpretation. By investigating the formation conditions of debris flows in the valley, the following assessment factors are selected： mixture density of landslides and rock avalanches, distance to the seismogenic fault, stratum lithology, ground roughness, and hillside angle. The weights of the assessment factors are determined by the analytic hierarchy process （AHP） method. Each of the assessment factors is further divided into five grades. Then, the assessment model is built using the multifactor superposition method to assess the debris flow susceptibility. Based on the assessment results, the Subao river valley is divided into three areas： high susceptibility areas, medium susceptibility areas, and low susceptibility areas. The high susceptibility areas are concentrated in the middle of the valley, accounting for 17.6%of the valley area. The medium susceptibility areas are in the middle and lower reaches, most of which are located on both sides of the high susceptibility areas and account for 45.3% of the valley area. The remainders are clas-sified as low susceptibility areas. The results of the model are in accordance with the actual debris flow events that occurred after the earthquake in the valley, confirming that the proposed model is capable of assessing the debris flow susceptibility. The results can also provide guidance for reconstruction planning and debris flow prevention in the Subao river valley.

Research and application of sidewall stability predic-tion method based on analytic hierarchy process and fuzzy integrative evaluation method

As a difficult problem, sidewall instability has been beset drilling workers all the time. Not only does it cause huge economic losses, but also it determines the success or failure of drilling engineering. Due to complex relationship between various factors which influence sidewall stability, it hasn’t been found a widely applied method to predicate sidewall stability so far. Therefore, in order to formulate corresponding measures to ensure successful drilling, searching for a kind of better method to forecast sidewall stability before drilling becomes an imperative and significant topic for drilling engineering. On the basis of traditional sidewall stability analytical method, we have put forward the Fuzzy Comprehensive Evaluation Method to forecast sidewall stability regulation using physico-chemical performance parameters of the clay mineral. This method has been improved by introducing the Analytic Hierarchy Process (AHP) and the Maximum Subjection Principle in the application process. After introducing Analytic Hierarchy Process to identify weight, and Maximum Subjection Principle to obtain evaluation results, it has reduced the influence of human factors and enhanced the accuracy of the fuzzy evaluation results. The application in Hailaer Area indicates that this method can predict sidewall stability of gas-oil well with high credibility and strong practicability.

Assessment of Effects of Green Construction by Analytic Hierarchy Process and Fuzzy Synthetic Judgment Method

The index system, code system, and weights of indexes are established to assess the effects of green construction. The index system consists of index level, factor level and sub-factor level. The analytic hierarchy process is used to determine the weights of indexes, and the consistency test indicate that the weight assignment is reasonable. Using fuzzy synthetic judgment method, the assessment model is built, which includes factor set, weight set and conclusion set. An example is given to demonstrate the assessment procedures.

Evaluation of ERP Systems Quality Model Using Analytic Hierarchy Process (AHP) Technique

The Enterprise Resource Planning (ERP) system is a complex and comprehensive software that integrates various enterprise’s functions and resources. ERP system cleanly encapsulates crosscutting concerns which cannot be encapsulated by other types of information systems like data synchronization and standardization, system complexity and system modularity. Many studies are conducted to propose software quality models with their quality characteristics. However, there is currently no dedicated software quality model that can describe and involve new features of ERP systems. Thus, this study has proposed an ERP system quality model (ERPSQM). Analytic Hierarchy Process AHP has been employed to evaluate the quality of ERPSQM. Furthermore, this proposed model can be used to make a comparison of ERP systems to help companies implement better systems.

中国新能源汽车海外市场开拓的影响因素——基于ISM-AHP模型分析

把握新能源汽车在海外市场开拓过程中的影响因素,对于更好地实现我国新能源汽车的战略目标极为重要。影响新能源汽车海外市场的开拓因素归纳为新能源汽车产品生产、东道国市场条件、新能源汽车产品营销、新能源汽车技术支持、我国政策条件五个层面共22个子要素,并构建我国新能源汽车海外市场开拓影响因素的解释结构模型(ISM),运用层次分析法(AHP)确定各直接影响因素的相对重要性。基于此,提出要注重产品研发、优化出口策略、提升用户黏度、优化政策体系,以提升我国新能源汽车的发展动力,夯实发展基础,并更好地应对替代产品威胁。

基于熵权法-AHP法的高能电子束辐照对生附片品质影响分析

为探究高能电子束辐照对生附片灭菌效果及药材品质的影响,本试验采用0、1、3、5、7、10、13、15和25 kGy剂量的电子束对生附片进行辐照处理,分析贮藏期内微生物数量和理化指标的变化。结果表明,辐照剂量为1 kGy可将微生物负载超标样品中的需氧菌总数、霉菌和酵母菌总数降至标准规定以下。不同辐照剂量下的水分、总灰分和浸出物含量均无显著差异(P>0.05);总色差值(ΔE)随辐照剂量的增加而显著增加。经7、10、13 kGy高能电子束辐照处理后,总生物碱、单双酯型生物碱含量总和低于未辐照组。1,1-二苯基-2-三硝基苯肼(DPPH)清除率随辐照剂量增加整体显著下降(P<0.05)。高效液相色谱(HPLC)指纹图谱显示,不同辐照剂量高能电子束处理样品的相似度大于0.97,质量较稳定。熵权法结合层次分析法(AHP)综合评价表明,5 kGy辐照组的品质综合评分最高,1 kGy辐照组的品质综合评分最低。本研究结果可为高能电子束辐照技术在生附片及其加工品贮藏中的应用提供理论参考。

基于层次分析法(AHP)优化葛根乙醇提取物制备工艺及其抗氧化活性检测

基于层次分析法(AHP)计算综合评分,在单因素试验基础上采用正交试验设计,优化回流法制备葛根乙醇提取物的工艺,并测定葛根乙醇提取物的抗氧化能力。结果表明:葛根乙醇提取物的最佳制备工艺条件为乙醇体积分数50%、料液比1:15(g/mL)、提取时间45min、提取次数2次,在此条件下综合评分平均值为19.33。抗氧化试验测得葛根乙醇提取物对DPPH和羟基自由基清除率最大分别为55.56%和78.22%,具有一定的抗氧化活性。

基于TFN-AHP熵权的铁钻工工业设计方案评价

针对铁钻工工业设计方案评价综合性强、存在一定主观性、评价影响因素多的问题,提出一种基于三角模糊数层次分析法和熵权法主、客观方法相结合的铁钻工方案评价模型。该模型在层次分析法框架下,根据专家意见构建铁钻工工业设计方案评价指标体系,划分4项1级指标和12项2级指标,以模糊决策矩阵为评价信息载体,引入三角模糊数优化传统层次分析法不能准确表征带有模糊不确定性特征的评价信息的问题,并使用客观方法熵权法组合赋权确定综合权重。将此评价模型运用于实际铁钻工设计项目方案评价,将评价结果与相关传统评价法进行对比,并将筛选出来的方案进行深入优化设计,证明了评价模型的有效性。研究结果能够有效辅助企业进行铁钻工工业设计方案决策。

基于AHP高校人才培养质量评价研究

为了对学生进行全方位培养,提高综合素质,满足社会对高质量人才的需求,除了完善人才培养模式和教学内容,还要对高校人才培养质量进行定量评价。采用层次分析法(AHP)构建人才培养质量评价体系,准则层包括教学目标、人才需求和课程体系三个方面,措施层包含15个影响人才培养质量的因素,对各层次因素进行分析,并按照影响程度进行排序。计算结果表明,教学目标中的学习能力为最大影响因素,并依据结果提出提高人才培养质量的建议,为管理者提供参考。

基于文本挖掘-FAHP的适老化智能床头柜设计研究

目的为了解决老龄化社会需求下的设计问题,提高老年群体生活的综合满意度,探索一条创新的适老化智能床头柜的设计研究方法。方法首先通过对适老化智能床头柜进行文献分析和调查研究,运用网络爬虫技术获取购物网站上关于适老化智能床头柜的用户评论,以评论关键词来生成词云图再结合KJ法进行归纳,找到耦合点,利用AHP层次分析法构建出适老化智能床头柜层次结构模型,并计算需求权重。结果依据指标权重进行设计实践,并运用模糊综合评判的方法得出最优设计方案。结论基于网络爬虫-AHP-模糊综合评判的设计流程,高效、科学、逻辑地解决了老龄化社会需求下的设计问题,为其他适老化智能产品设计提供了参照思路。

基于AHP模糊评价法的元宇宙设计行为核心要素比重研究

元宇宙正在兴起,其设计行为从理论上来说应当分为算力设计和内容设计两大阵营,其中算力设计是技术基础,内容设计制造出视听内容主体。算力设计可以分为信息采集算力、信息存储算力、信息传输算力、信息转换算力的设计;内容设计可以分为数据人、数据场景、行为动态、视觉渲染的设计。这些要素在元宇宙设计结构中的比重是多少、各自处于什么样的位置,是非常适合使用AHP模糊评价法来进行测评的,测评结果对于元宇宙世界的建设意义非凡。经过仔细测算发现,信息转换算力、渲染设计、信息传输算力、动态行为设计是元宇宙设计中最重要、最紧迫的四大类创新研发任务。

基于D-S证据理论改进AHP-熵权的流域洪涝灾害评估研究

考虑致灾因子危险性、孕灾环境敏感性以及承灾体易损性,选取指标构建小清河流域洪涝灾害风险评估指标体系,提出一种基于D-S证据理论的改进AHP-熵权法计算指标权重,求取洪涝灾害风险指数,运用自然断点分级法确定洪涝灾害风险等级,分析小清河流域洪涝灾害风险空间分布情况。结果表明:小清河流域洪涝灾害风险总体上表现出南低北高的趋势,其中高风险区和较高风险区分别占流域面积的8.7%和14.3%,主要分布在小清河干流以及主要支流两岸。所得评估结果同“利奇马”台风发生期间实际洪灾风险分布情况一致,对比证明基于D-S证据理论的改进AHP-熵权法优于AHP和熵权法,可为小清河流域防洪减灾决策提供依据。