Construction of Value Models of Consumer Creation for Agricultural Products Based on the Analytic Hierarchy Process(AHP)

With the increased competition of modern economy and globalization,consumer creation which based on the analysis of consumer behavior was more and more attentioned and respected by business.Based on the meaning and characteristics of agricultural product consumer creation,index system of value model of agricultural product consumer creation was put forward through analytical hierarchy process（AHP）.The weights of the indicators and related indicators of impact on the value were analyzed,and value models of agricultural product consumer creation were constructed to provide ideas for development of agricultural product consumer market and research of consumer value.Consumer creation was constructed to provide ideas for development of agricultural product consumer market and research of consumer value.

Relationship of public preferences and behavior in residential outdoor spaces using analytic hierarchy process and principal component analysis—a case study of Hangzhou City, China

This study examined public attitudes concerning the value of outdoor spaces which people use daily. Two successive analyses were performed based on data from common residents and college students in the city of Hangzhou, China. First, citizens registered various items constituting desirable values of residential outdoor spaces through a preliminary questionnaire. The result proposed three general attributes (functional, aesthetic and ecological) and ten specific qualities of residential outdoor spaces. An analytic hierarchy process (AHP) was applied to an interview survey in order to clarify the weights among these attributes and qualities. Second, principal factors were extracted from the ten specific qualities with principal component analysis (PCA) for both the common case and the campus case. In addition, the variations of respondents’ groups were classified with cluster analysis (CA) using the results of the PCA. The results of the AHP application found that the public prefers the functional attribute, rather than the aesthetic attribute. The latter is always viewed as the core value of open spaces in the eyes of architects and designers. Fur-thermore, comparisons of ten specific qualities showed that the public prefers the open spaces that can be utilized conveniently and easily for group activities, because such spaces keep an active lifestyle of neighborhood communication, which is also seen to protect human-regarding residential environments. Moreover, different groups of respondents diverge largely in terms of gender, age, behavior and preference.

Energy Efficiency Evaluation Based on Data Envelopment Analysis Integrated Analytic Hierarchy Process in Ethylene Production

Energy efficiency data from ethylene production equipment are of high dimension, dynamic and time sequential, so their evaluation is affected by many factors. Abnormal data from ethylene production are eliminated through consistency test, making the data consumption uniform to improve the comparability of data. Due to the limit of input and output data of decision making unit in data envelopment analysis(DEA), the energy efficiency data from the same technology in a certain year are disposed monthly using DEA. The DEA data of energy efficiency from the same technology are weighted and fused using analytic hierarchy process. The energy efficiency data from different technologies are evaluated by their relative effectiveness to find the direction of energy saving and consumption reduction.

Landslide susceptibility analysis of Karakoram highway using analytical hierarchy process and scoops 3D

Landslides are prevalent,regular,and expensive hazards in the Karakoram Highway(KKH)region.The KKH connects Pakistan with China in the present China-Pakistan Economic Corridor(CPEC)context.This region has not only immense economic importance but also ecological significance.The purpose of the study was to map the landslide-prone areas along KKH using two different techniquesAnalytical Hierarchy Process(AHP)and Scoops 3 D model.The causative parameters for running AHP include the lithology,presence of thrust,land use land cover,precipitation,and Digital Elevation Model(DEM)derived variables(slope,curvature,aspect,and elevation).The AHP derived final landslide susceptibility map was classified into four zones,i.e.,low,moderate,high,and extremely high.Over 80%of the study area falls under the moderate(43%)and high(40%)landslide susceptible zones.To assess the slope stability of the study area,the Scoops 3 D model was used by integrating with the earthquake loading data.The results of the limit equilibrium analysis categorized the area into four groups(low,moderate,high,and extremely high mass)of slope failure.The areas around Main Mantle Thrust(MMT)including Dubair,Jijal,and Kohistan regions,had high volumes of potential slope failures.The results from AHP and Scoops 3 D techniques were validated with the landslides inventory record of the Geological Survey of Pakistan and Google Earth.The results from both the techniques showed similar output that coincides with the known landslides areas.However,Scoops 3 D provides not only susceptible zones but also the range of volume of the potential slope failures.Further,these techniques could be used in other mountainous areas,which could help in the landslide mitigation measures.

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.

Landfill Siting Using GIS and AHP （Analytical Hierarchy Process）： A Case Study AI-Qasim Qadhaa, Babylon, Iraq

The selection of a landfill site is considered as a complicated task because this process is based on many factors and restrictions. For Al-Qasim Qadhaa, which is situated in the southern part of the Babylon Governorate, Iraq, there is no landfill site in that area that conforms to the scientific criteria for selecting sites for landfill. For this reason, 15 criteria were adopted in this study （groundwater depth, rivers, soil types, agriculture lands use, land use, elevation, slope, gas pipelines, oil pipelines, power lines, roads, railways, urban centers, villages and archaeological sites） using GIS （geographic information system）, which has a large ability to manage input data. In addition, the AHP （analytical hierarchy process） method was used to derive the relative weightings for each criterion using pair-wise comparison. To obtain the suitability index for candidate landfill sites, a weighted linear combination method was used. After combining these methods, two suitable candidate landfill sites, with areas of 2.766 km2 and 2.055 km2, respectively, were found to satisfy the scientific and environmental requirements. The area of these sites can accommodate solid waste from 2020 until 2030 based on the required area, which was 0.702 km2.

Evaluation and Optimization of the Logistics Service of Agricultural Products:an Empirical Analysis Based on Analytic Hierarchy Process

This research,from the theories of management science,supply chain management and logistics engineering,on the basis of extensive investigations,and using the method of analytic hierarchy process(AHP),evaluates the present situation of logistics service of agricultural products.Taking Nanping City(Nanping)as a case,it explores the obstacles existing in current logistics service system and the factors limiting the development of agricultural product logistics service.Combining with the theory of modern logistics system,it reveals the problems in the logistics system and the causes,and then constructs the strategy of optimization for agricultural product logistics service in Nanping.The conclusion of the study can be references for the government to make scientific strategies for the development of the agricultural product logistics service and help logistics enterprises improve their service level.

An Overview of the Analytic Hierarchy Process （AHP） and Its Applications to Determine Benchmarking Criteria in Industrial Companies

This paper determines benchmarking criteria from the actors＇ point of view, who are involved in benchmarking processes within four Libyan industrial companies （LICs）. It also describes an application of the analytic hierarchy process （AHP）, which can help an organization to determine its benchmarking criteria. It presents a structured hierarchy for assessing the key capabilities using the AHP. The hierarchy is illustrated using the four main criteria that manufacturing companies will consider when carrying out benchmarking. AHP and benchmarking techniques make the implementation and analysis studies more effective, easy, and applicable to companies. Further, AHP is used to calculate the relative weights of criteria, sub-criteria, and specific sub-criteria, to prioritize them, and finally to select the important benchmarking criteria within each of the four companies investigated. The overall findings suggest that quality control is the most important criterion considered to be benchmarked in companies Q and R. Meanwhile, cost control is considered as the most important criterion to be benchmarked in companies S and T1.

The Use of Analytic Hierarchy Process （AHP） in the Determination of Earnings Quality： The Case of UAE

The purpose of this study is to review and demonstrate how analytic hierarchy process （AHP） can be employed to determine earnings quality. The AHP technique can make the analysis studies more effective, easy, and applicable to companies to calculate the relative weights of each dimension, sub-dimension, and specific sub-dimension of earnings quality. A common understanding of earnings quality is difficult to define and even more difficult to measure precisely. In addition to this, the earnings quality is influenced by factors which are often intangible and immeasurable and, as such, when assessing earnings quality, judgments will be largely subjective. Further, earnings quality is related to business concepts or practices and affected by other factors such as the nature and source of earnings. In relation to this, earnings quality would be directly influenced by the conservatism of the chosen methods. However, earnings quality relates to the persistence of earnings and to the likelihood of cash realization on reported eamings. Overall, the results presented from the paramorphic model under AHP are meant to be descriptive of the decision process of five investment analysts within three different companies. The results in this study offer valuable insights into how a small population of investment analysts actually decides the relative importance of various earnings quality dimensions.

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.

Measuring the Complexity of Business Organization and Business Software Using Analytic Hierarchy Process （AHP）

The paper shows a proposition of metrics for measuring the complexity of the business organization and business software. The metrics is based on a subjective estimation of complexity of the elements from a part of the structure of business organization or business software in relation to other elements from the observed part. Estimation is performed based on the measuring scale for comparison of complexity of elements, and reaching a final conclusion on the complexity of elements in relation to other elements, through the Analytic Hierarchy Process （AHP）. Defined in this manner, the metrics represents a unique metrics for measuring the complexity of elements of business organization and business software, which enables their comparison. The paper also presents a short overview of existing metrics for measuring the complexity of business organization and business software.

Groundwater Exploration Using Multi Criteria Decision Analysis and Analytic Hierarchy Process in Federal Capital Territory, Abuja, Central Nigeria

There exists a growing demand for potable water resources to fill the abysmally insufficient water needs for domestic and industrial especially in the Basement Complex terrains of Nigeria. This situation is attributable to its complex hydrogeologic character. The present challenge has worsened due to the non-incorporation of integrated methods in groundwater exploration campaigns. To effectively combat the challenge of unacceptable failure rates in drilled water well development, there is a need for innovative scientific principles and quantitative assessment of groundwater resources to enhance sustainable and proper utilisation of these resources. Hence, it is the objective of this research to exploit the potential application of remote sensing, Geographic Information System (GIS), and Multi-Criteria Decision Analysis (MCDA) techniques and freely open datasets in mapping groundwater potential zones. Seven thematic maps have been produced based on factors that are deemed to influence and deemed to have significant control on the occurrence and movement of groundwater. These factors are geology, lineament density, slope, drainage density, rainfall, land-use/land cover, and soil class. Analytic Hierarchy Process (AHP) was used to assign normalised weights to the thematic maps based on the various relative contributions to groundwater occurrence and movement. These thematic maps were then processed in a GIS environment using the Weighted Overlay tool which implements the MCDA. The resulting Groundwater Potential Zones (GPZ) of the area gave rise to Five classes viz: Very good, Good, Moderate, Poor and Very Poor representing 19%, 8%, 14%, 47% and 13% respectively. It is recommended that the GPZ map should be used as a reconnaissance tool for selecting prospective sites for detailed groundwater resource exploitation.

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。

双循环背景下石化企业供应链韧性评价研究——基于AHP-BP方法

随着环境不确定性的提高,中国石化企业供应链稳定性需求日渐攀升,供应链韧性评价已经成为判断石化企业风险应对能力的重要手段。基于双循环背景,通过构建石化企业供应链韧性评估指标体系,利用层次分析法和BP神经网络,对石化企业供应链韧性强度进行评估,确定了供应链韧性水平。结果表明,各石化企业的供应链韧性强度存在较大差异,供应链韧性整体水平偏低。在研究结果的基础上,对韧性供应链锻造提出了切实可行的建议。

AHP-改进物元法在整体钢平台顶升模架体系安全风险评估中的应用

针对整体钢平台顶升模架体系施工安全性的灰色特征,经实地调研及专家评审,建立了整体钢平台顶升模架体系的安全风险评估模型。首先,考虑人员、设备、环境、管理及技术5个方面,选取19个指标构建安全风险评估指标体系;其次,采用层次分析法计算各指标权重,基于改进物元法确定各指标的风险等级,然后将两者向量相乘,以最大隶属度原则确定整体钢平台顶升模架体系的安全风险等级;最后,将所建立的基于层次分析法(Analytic Hierarchy Process, AHP)-改进物元法的安全风险评估模型应用到某超高层工程实例中,并将评估结果与实际施工情况对比分析。研究表明,该评估模型的计算结果合理且准确可靠,可为超高层整体钢平台顶升模架体系的安全管理提供参考。

多场景下基于AHP-EWM的人体健康状态评估模型研究

为解决人体健康评估方法个性化监测不足的问题以及在满足不同场景下健康状态精细化评估的需求,需要一种基于多场景的人体健康状态评估方法来实现长期自动化监测。提出一种基于层次分析法(AHP)和熵权法(EWM)组合的多场景人体健康状态评估模型。首先采集人体在运动、休息、工作/学习和娱乐等4种不同场景下的健康监测指标数据,构建相应的评估指标体系。然后分别根据评估指标计算出AHP和EWM权重,再采用量子粒子群优化(QPSO)算法对AHP和EWM中的主客观权重进行分配,以确保评价指标占比的客观性。最后通过模糊综合评价法对人体健康状态进行评估和量化,并利用实际监测数据对方法的可靠性和稳定性进行验证。实验结果表明,在4种场景下所提方法的综合得分分别为63.78、59.83、58.71和59.21,表明在不同场景下该模型都具有较好的准确性和稳定性。根据评估结果,对测试者的身体状态评价结果进行分析,并给出一些健康建议。所提模型可全面了解人体在不同场景下的健康状况,并为人们提供科学的健康指导,从而为健康管理和疾病预防提供科学依据。

基于ISM和AHP的城乡结合部公众突发公共卫生事件风险感知关键影响因素分析

深入研究城乡结合部公众突发公共卫生事件风险感知关键影响因素,对政府调节公众风险感知、提升应急管理能力具有重要意义。首先构建城乡结合部公众突发公共卫生事件风险感知影响因素指标体系,然后利用解释结构模型(ISM)方法对影响因素进行层次分析,并采用层次分析(AHP)法对各层次影响因素的影响力大小进行分析,确定城乡结合部公众突发公共卫生事件风险感知的关键影响因素。结果表明:城乡结合部公众突发公共卫生事件风险感知的影响因素分为直接因素、间接因素和根本因素三个层次;应急决策指挥和感染死亡情况是关键直接影响因素,医疗救援能力和应急物资保障是关键间接影响因素,文化水平、技能水平和公共设施完善度是关键根本影响因素。针对关键影响因素,提出建立和完善预警系统、普及宣传应急知识和加大对城乡结合部地区医疗机构的投入等措施,为政府应急管理提供决策支持。

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。