Application of fuzzy analytic hierarchy process and neural network in power transformer risk assessment

In operation,risk arising from power transformer faults is of much uncertainty and complicacy.To timely and objectively control the risks,a transformer risk assessment method based on fuzzy analytic hierarchy process(FAHP) and artificial neural network(ANN) from the perspective of accuracy and quickness is proposed.An analytic hierarchy process model for the transformer risk assessment is built by analysis of the risk factors affecting the transformer risk level and the weight relation of each risk factor in transformer risk calculation is analyzed by application of fuzzy consistency judgment matrix;with utilization of adaptive ability and nonlinear mapping ability of the ANN,the risk factors with large weights are used as input of neutral network,and thus intelligent quantitative assessment of transformer risk is realized.The simulation result shows that the proposed method increases the speed and accuracy of the risk assessment and can provide feasible decision basis for the transformer risk management and maintenance decisions.

Using Extension Theory and Fuzzy Analytic Hierarchy Process on Heterogeneous Wireless Network Selection Algorithm

In order to solve the problem that determining decision factors weights is of subjectivity in heterogeneous wireless network selection algorithm, a network selection algorithm based on extension theory and fuzzy analytic hierarchy process （FAHP） is proposed in this paper. In addition, user and operator codetermine the optimal network using the proposed algorithm, which can give consideration to user and operator benefits. The fuzzy judgment matrix is coustructed by membership degree of decision factors which is calculated according to extension theory. The comprehensive weight of each decision factor is obtained using FAHP. Finally, the optimal network is selected through total property value ranldng of each candidate network under user preference and operator preference. The simulation results show that the proposed algorithm can select the optimal network efficiently and accurately, satisfy user preference, and implement load balance between networks.

Concurrent Material Selection of Natural Fibre Filament for Fused Deposition Modeling Using Integration of Analytic Hierarchy Process/Analytic Network Process

The employment of natural fibres in fused deposition modeling has raised much attention from researchers in finding a suitable formulation for the natural fibre composite filaments.Moreover,selection of suitable natural fibres for fused deposition modeling should be performed before the development of the composites.It could not be performed without identifying selection criteria that comprehend both materials and fused deposition modeling process requirements.Therefore,in this study,integration of the Analytic Hierarchy Process(AHP)/Analytic Network Process(ANP)has been introduced in selecting the natural fibres based in different clusters of selection concurrently.The selection process has been performed based on the interdependency among the selection criteria.Pairwise comparison matrices are constructed based on AHP’s hierarchical model and super matrices are constructed based on the ANP’s network model.As a result,flax fibre has ranked at the top of the selection by scored 19.5%from the overall evaluation.Flax fibre has excellent material properties and been found in various natural fibre composite applications.Further investigation is needed to study the compatibility of this fibre to be reinforced with a thermoplastic polymer matrix to develop a resultant natural fibre composite filament for fused deposition modeling.

Underwater multiple target tracking decision making based on an analytic network process

Underwater multi-target tracking logic and decision （UMTLD） has difficulty resolving multi-target tracking problems for underwater vehicles. Present methods assume factors in UMTLD are uncorrelated, when these are actually in a complex, interdependent relationship. To provide this, an index set of multi-target tracking decision characteristics and an analytic network process （ANP） model of the UMTLD method was -established. This method brings the index set of multi-target tracking decision into the ANP model, and the optimization multitarket tracking decision is achieved via computation of the resulting supermatrix. The rationality and robustness of decision results increase in simulations by 13% and 47% respectively with analytic hierarchy process （AHP）. These results indicate that the ANP method should be the preferred method when UMTLD factors are interdependent.

Using analytic network process to analyze problems for implementing turn-key construction projects in Taiwan

The turn-key construction project is implemented in Taiwan not by a single company but by a make-shift group of several companies. Hence,problems to coordinate the professional construction management (PCM) and the supervising architectural company often occur for the lack of long-term experience to work together. The various factors that affect the implementation of turn-key projects currently practiced in Taiwan are analyzed using the analytic network process (ANP). The objective is to study how the twelve key factors in the four layers of "Role assignment","Signing contract","Operational procedures" and "Losing capital investment" affect the progress of implementing the turn-key project in Taiwan. The results reveal that "Delay in payment" has the most negative influence with 15.62% weighing factor; "Latent risk" comes next with 11.14% weighing factor,and "Responsibility of construction company for project quality" is the third with 10.79% weighing factor.

The Selection of Dry Port Location by Analytic Network Process Model: A Case Study of Dosso-Niger

The aim of this paper is to select the best location for the construction of a dry port in Niger which is a land locked country (LLC). Niger is located in the Sahel and has a land area of 1,267,000 square kilometers [1], with the closest port being port of Cotonou in Benin. The transport corridor from Niamey to Cotonou is approximately 1036 km long [2]. It is estimated that this corridor carries about 40 percent of Niger’s overseas trade traffic [3]. In this work, the Analytic Network Process (ANP) model is used to determine the optimal location of the dry port, among three major cities: Niamey (capital city), Dosso and Gaya. From the application of this selection model, Dosso was selected as the best location for the location of the dry port, while Gaya and Niamey were placed second and third respectively. The results obtained in this work strongly confirm the decision of the government of Niger to construct a dry port in Dosso, a project that commenced in 2010 and is still in progress.

DECISION MAKING - THE ANALYTIC HIERARCHY AND NETWORK PROCESSES (AHP/ANP)

This is the first part of an introduction to multicriteria decision making using the Analytic Hierarchy Process (AHP) and its generalization, the Analytic Network Process (ANP). The discussion involves individual and group decisions both with the independence of the criteria from the alternatives as in the AHP and also with dependence and feedback in the entire decision structure as in the ANP. This part explains the Analytic Hierarchy Process, with examples, and presents in some detail the mathematical foundations. An exposition of the Analytic Network Process and its applications will appear in later issues of this journal.

分享经济企业信任保障模式创新与决策研究——基于ANP模型的多案例比较分析

信任保障是驱动分享经济高质量发展的关键要素,对分享经济信任保障模式决策机制的深入研究具有重要的理论意义和实践价值。在将分享经济信任保障模式划分为企业主导型信任保障、第三方主导型信任保障、政府主导型信任保障和技术驱动型信任保障四种类型基础上,通过构建分享经济企业信任保障模式决策的ANP模型,并选取滴滴出行、小猪民宿和猪八戒网三个分享经济典型企业进行了算例应用,验证了模型的合理性与可行性。研究结果表明:(1)随着分享经济的持续快速发展,科学合理、符合实际、契合度高的分享经济信任保障对分享经济的持续健康发展十分重要。(2)分享经济企业信任保障模式选择受到行业发展、行业环境、平台因素、供方因素、需方因素等多方因素的影响。(3)政府主导型信任保障模式最适合发展速度快、与传统行业冲突大、恶性舆论事件频发的分享经济企业;第三方主导型信任保障模式最适合供需双方同时面临较大风险的分享经济企业;企业主导型信任保障模式最适合发展水平、技术水平和服务水平较高的分享经济企业;技术驱动型信任保障模式是重塑数字化背景下分享经济信任体系的重要方式,也是未来分享经济信任保障的最重要模式。就整体层面而言,政府对分享经济新业态加强包容审慎监管;就不同行业而言,政府要针对不同情况采取有针对性的治理措施;就未来发展而言,政府要进一步提升数字化和智能化治理水平。

基于ANP-可拓云模型的网络型航空公司综合竞争力评价

构建网络型航空公司综合竞争力评价指标体系并实施客观评价,是国内网络型航空公司明确自身定位、快速提升综合竞争力的重要手段。从创新发展能力、运营管理能力和品牌塑造能力3个维度入手建立综合竞争力评价体系,并采用网络分析法(ANP,analytic network process)-可拓云模型对全球20家典型网络型航空公司进行综合评价,得到各航空公司在全球航空运输市场上的相应地位以及各方面的优势与短板,以期为国内网络型航空公司实现高质量发展、进一步提升综合竞争力提供理论和实践参考。研究表明:中国三大网络型航空公司的创新发展能力和运营管理能力尚有不足,建议以枢纽网络和效率提升为重要抓手,着力提升优化。

基于ANP法的区域防空重点保卫目标的优选

为优化区域防空作战中对重点保卫目标的选择策略,提升其决策过程的准确性与科学性,论文基于防空作战观察、定位、决策和行动(OODA)循环过程,从各环节深入分析了区域防空重点保卫目标的重要性。通过构建防空保卫目标重要程度指标模型,从目标价值、保卫迫切程度、目标易损性及目标恢复性四个维度全面考量防空保卫目标的重要程度。利用网络层次分析法(ANP)精准捕捉并量化作战指挥员的倾向性意见,同时借助超级决策软件Super Decisions进行指标权重的科学分配,显著增强了指标赋权的合理性与精确性。通过实例分析验证,该指标模型不仅具有可行性和准确性,而且为防空作战中重点保卫目标的优选提供了坚实可靠的理论依据与实践参考,有助于确保有限防空资源的合理配置与高效利用。

Optimization Model Proposal for Traffic Differentiation in Wireless Sensor Networks

Wireless sensor networks(WSNs)are characterized by heterogeneous traffic types(audio,video,data)and diverse application traffic requirements.This paper introduces three traffic classes following the defined model of heterogeneous traffic differentiation in WSNs.The requirements for each class regarding sensitivity to QoS(Quality of Service)parameters,such as loss,delay,and jitter,are described.These classes encompass real-time and delay-tolerant traffic.Given that QoS evaluation is a multi-criteria decision-making problem,we employed the AHP(Analytical Hierarchy Process)method for multi-criteria optimization.As a result of this approach,we derived weight values for different traffic classes based on key QoS factors and requirements.These weights are assigned to individual traffic classes to determine transmission priority.This study provides a thorough comparative analysis of the proposed model against existing methods,demonstrating its superior performance across various traffic scenarios and its implications for future WSN applications.The results highlight the model’s adaptability and robustness in optimizing network resources under varying conditions,offering insights into practical deployments in real-world scenarios.Additionally,the paper includes an analysis of energy consumption,underscoring the trade-offs between QoS performance and energy efficiency.This study presents the development of a differentiated services model for heterogeneous traffic in wireless sensor networks,considering the appropriate QoS framework supported by experimental analyses.

基于ANP与物元可拓模型的冻土区高速公路施工安全风险评价研究

冻土区高速公路施工难度大,施工过程受多种风险因素以及风险因素之间的联动效应影响,客观全面的施工安全风险评价需构建特定情境的风险评价指标体系,并考虑指标之间的相互作用,得出量化的风险数值。因此,研究提出网络分析法(ANP)与物元可拓模型相结合的风险评价模型。首先,构建总目标、4个一级指标和12个二级指标的三级冻土区高速公路施工安全风险评价指标体系;其次,建立指标相互关联的ANP网络结构模型,计算各级指标的综合权重;最后,根据物元可拓模型得出多级可拓评价结果。案例分析显示,该冻土区高速公路施工安全风险等级为3级(安全风险较大),与实际施工情况相符,进一步针对性地提出了加强施工安全的建议措施。

基于ANP法对建筑工程合同实施阶段造价影响因素评价研究

建筑工程合同实施阶段是项目造价控制的核心阶段,也是整个工程建设期间费用支出最多的阶段。在查阅大量文献的基础上,结合实际案例,建立了建筑工程合同实施阶段造价影响因素评价指标体系,运用网络层次分析法(ANP)和运用Delphi法计算出一级指标和二级指标的权重,从而得到建筑工程合同实施阶段造价影响因素对造价的不同影响程度,分析出其主要影响因素为材料单价、国家政策、工程变更及索赔、设备单价、成本控制方法、经济环境、人工单价以及施工人员工作效率,这九项因素也主要集中在人为因素、材料设备因素、技术因素以及国家政策与经济环境因素中。本文的研究为能为后续的相关研究提出一定的帮助与支持。

基于ANP-FCE的矿井风险防控系统研发

为加强煤矿安全风险防控能力,采用ANP-FCE相结合的方法构建矿井风险防控系统。首先,基于事故致因理论对矿井生产体系进行调研,并建立矿井风险防控指标体系;其次,运用ANP分析主要影响因素,并采用FCE建立矿井风险防控评价模型;最后,利用Java平台,依托JSP+SSM框架与MySQL数据库联合开发矿井风险防控系统,并在某煤矿试运行。结果表明:该系统可以确定矿井安全生产工作的重点,实现矿井生产数据实时显示,并具有重点作业监控和预警功能。系统的开发有利于企业各级领导及时掌握各种数据信息,提高企业自身的风险防控和预警能力,为煤矿企业的运营和发展提供安全保障。

Room thermal load prediction based on analytic hierarchy process and back-propagation neural networks

Accurate prediction of the heat load is the basic premise of intelligent regulation of the heating system,which helps to realize effective management of heating,ventilation,air conditioning system.For the problem that the weight of each influencing factor is not taken into account in the current heat load prediction and is not highly targeted,this article deeply explores the influence of different factors on the room heat load,and we propose a method to calculate room heat load prediction based on the combination of analytic hierarchy process(AHP)and back-propagation(BP)neural network.Firstly,eight environmental factors affecting the heat load are selected as prediction inputs through parametric analysis,and then the weights of each input are determined by AHP and normalize the prediction data by combining expert opinions,and finally do one-to-one training the quantified score and the room heat load to predict the future heat load by BP neural network.The simulation tests show that the mean absolute relative error(MARE)of the proposed prediction method is 5.40%.This article also verifies the influence of different expert opinions on the stability of the model.The results show that the proposed method can guarantee higher prediction accuracy and stability.

基于ANP-BP方法的煤矿应急能力评价研究

合理选用评价方法对企业认清应急能力现状及提升应急能力水平具有重要意义。为开展煤矿应急能力评价,强化煤矿应急能力建设,通过对ANP网络层次分析法和BP神经网络各自优势进行分析并组合,以ANP计算出的结果作为BP神经网络的训练样本数据,提出了ANP-BP评价方法。对该方法在煤矿应急能力评价过程中的实现进行了研究,证明了该方法的可适用性和可操作性。

应用ANP的Shapley值法动态联盟利益分配策略

基于Shapley值法的利益分配策略是研究企业动态联盟利益分配的有效方法之一.由于它在利益分配过程中未能考虑盟员承担风险等因素影响的差异性,因此会造成利益分配的不合理性.应用网络分析法(ANP)确定对影响联盟利益分配的贡献率、风险以及投资额等因素的权重,进而对基于Shapley值法的利益分配策略进行修正.最后通过实例证明这种修正方法更为合理、更符合实际.

网络分析法(ANP)及其在供应商选择中的应用

解释了网络分析法(ANP)的原理,总结、精练出网络分析法的8个操作步骤,指出了网络分析法与层次分析法(AHP)的异同。在合理选择供应商评价准则的基础上,运用ANP方法构建了供应商选择的依存、反馈网络,克服了传统AHP方法中因假设元素间相互独立而偏离实际的缺陷。以本文的评价方法进行供应商选择将更为实际。

基于网络分析法(ANP)的水电工程风险分析及其应用

水电工程项目在开发建设过程中往往面临着来自技术、经济、自然和社会环境等诸多方面的风险和干扰,其风险因素又难以量化且他们之间相互关联、相互影响,本文针对此问题,提出了基于网络分析法(ANP)对水电工程风险进行分析,建立了风险因素多准则、多层次的ANP结构模型,并对模型的求解进行了详细的阐述。最后,以某水电工程为例,应用此方法求得风险因素总排序,结果表明ANP能够比较有效地处理多种风险因素之间复杂影响关系,从而发现了其主要关键的风险因素,为工程项目的风险控制和管理提供了重要的参考。