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.

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 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.

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.

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.

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.

基于DANP—模糊综合评价的危化品救援队伍应急能力评估

为量化评价我国危化品应急救援队伍能力,明确应急救援队伍建设中存在的不足,通过能力素质冰山模型研究影响因素,从应急准备、应急响应和总结评估3个方面建立评估指标体系,结合集成决策实验室分析法(DEMATEL)与网络层次分析法(ANP)确定指标权重,并和DEMATEL法的权重结果进行对比,运用模糊综合评价法建立全国危化品救援队伍应急能力评价模型。结果表明:应急准备能力评价为“较弱”,应急响应能力和总结评估能力评价为“一般”,队伍总体应急能力评价为“一般”,两种权重的评价结果一致。

IoT data analytic algorithms on edge-cloud infrastructure:A review

The adoption of Internet of Things(IoT)sensing devices is growing rapidly due to their ability to provide realtime services.However,it is constrained by limited data storage and processing power.It offloads its massive data stream to edge devices and the cloud for adequate storage and processing.This further leads to the challenges of data outliers,data redundancies,and cloud resource load balancing that would affect the execution and outcome of data streams.This paper presents a review of existing analytics algorithms deployed on IoT-enabled edge cloud infrastructure that resolved the challenges of data outliers,data redundancies,and cloud resource load balancing.The review highlights the problems solved,the results,the weaknesses of the existing algorithms,and the physical and virtual cloud storage servers for resource load balancing.In addition,it discusses the adoption of network protocols that govern the interaction between the three-layer architecture of IoT sensing devices enabled edge cloud and its prevailing challenges.A total of 72 algorithms covering the categories of classification,regression,clustering,deep learning,and optimization have been reviewed.The classification approach has been widely adopted to solve the problem of redundant data,while clustering and optimization approaches are more used for outlier detection and cloud resource allocation.

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。

Visual analytics tool for the interpretation of hidden states in recurrent neural networks

In this paper,we introduce a visual analytics approach aimed at helping machine learning experts analyze the hidden states of layers in recurrent neural networks.Our technique allows the user to interactively inspect how hidden states store and process information throughout the feeding of an input sequence into the network.The technique can help answer questions,such as which parts of the input data have a higher impact on the prediction and how the model correlates each hidden state configuration with a certain output.Our visual analytics approach comprises several components:First,our input visualization shows the input sequence and how it relates to the output(using color coding).In addition,hidden states are visualized through a nonlinear projection into a 2-D visualization space using t-distributed stochastic neighbor embedding to understand the shape of the space of the hidden states.Trajectories are also employed to show the details of the evolution of the hidden state configurations.Finally,a time-multi-class heatmap matrix visualizes the evolution of the expected predictions for multi-class classifiers,and a histogram indicates the distances between the hidden states within the original space.The different visualizations are shown simultaneously in multiple views and support brushing-and-linking to facilitate the analysis of the classifications and debugging for misclassified input sequences.To demonstrate the capability of our approach,we discuss two typical use cases for long short-term memory models applied to two widely used natural language processing datasets.

基于ANP-FCE的高校教学实验室使用效益评估体系构建与实践

针对指标权重计算方法不合理、定性指标评价难以量化的问题,将网络分析(analytic network process,ANP)法与模糊综合评价(fuzzy comprehensive evaluation,FCE)法相结合,借助专业辅助软件yaanp和yafce,构建基于ANP-FCE的高校教学实验室使用效益评估体系。效益评估体系提高了指标权重排序的科学性和合理性,以及评估结果的精准性和真实性,并在实际应用中取得了良好的效果,371名服务对象对评估体系的整体满意度达90.58%。效益评估体系对于提升高校实验室建设与管理水平,提高实验室使用效益,发挥实验室在人才培养、科学研究、社会服务等方面的作用具有现实意义和推广价值。

基于ANP-FCE方法的企业数字化成熟度模型研究

当前,数字化转型已成为现代企业获取竞争优势和实现可持续发展的关键途径。然而,我国企业在数字化转型过程中往往面临对数字化的理解不够深入、缺乏适用性的转型经验和方法的挑战。因此,构建一套普适性的数字化转型成熟度模型来指导企业数字化转型工作变得很有意义。通过文献研究,提炼出业务、数据、技术、治理四个企业数字化能力的维度,基于此构建一个三级数字化成熟度指标体系,包括一级指标4个、二级指标17个、三级指标52个。考虑到指标间存在相互作用关系,利用ANP方法确定了指标权重,使其更加符合现实情况。采用模糊综合评价法(FCE)进行评价,验证该模型的有效性。该模型对企业数字化评估具有一定的参考价值,评价方法科学性和实操性兼备,可以为更多企业提供评价操作指导。

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。

拟态防御中基于ANP-BP的执行体异构性量化方法

基于动态异构冗余框架的拟态防御技术是一种主动防御技术,其利用非相似性、冗余性等特征阻断或扰乱网络攻击,以提高系统的可靠性和安全性,其中最大化执行体之间的异构性是提高拟态防御安全效益的关键。文中提出了一种基于网络层次分析法(ANP)和误差反向传播(BP)的执行体异构性量化方法,该方法通过收集和分析不同的异构性影响因素,建立一个多维度的特征矩阵,利用ANP方法综合考虑了各个维度之间的相互依赖关系,对不同维度的特征进行权重分配,同时利用BP神经网络解决ANP方法带来的主观性过强的问题。通过基于ANP-BP的异构性评估模型,能够快速准确有效地筛选出影响异构性最大的因素,为拟态防御执行体异构性评估提供科学依据和技术建议。

Analytical solutions for the slow neutron capture process of heavy element nucleosynthesis

In this paper, the network equation for the slow neutron capture process （s-process） of heavy element nucleosynthesis is investigated. Dividing the s-process network reaction chains into two standard forms and using the technique of matrix decomposition, a group of analytical solutions for the network equation are obtained. With the analytical solutions, a calculation for heavy element abundance of the solar system is carried out and the results are in good agreement with the astrophysical measurements.

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。

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ISM-ANP的绿色包装灰色评价模型研究

目的 对绿色包装设计方案进行多维度综合评价,提供具体的包装优化依据,解决过度包装、废弃包装带来的环境问题。方法 首先建立涵盖环境、产品性能、创新性、经济性、用户体验感五大属性的评价指标体系,以ISM分析指标之间的内在关联情况并利用ANP确定权重值;其次通过灰色模糊评价对包装等级进行划分;最后以综合评价方法求得包装的绿色度评分。结果 将指标权重值与传统AHP方法得出的结果进行比较,发现本研究模型更科学合理。以一项小麦壳制保鲜包装设计为例,运用该综合评价模型进行运算后得出该方案评价值为5.043,再根据指标的得分数据有针对性地提出包装优化方向。结论 研究模型适用于各类绿色包装设计方案的筛选与优化,有助于包装设计与生产相关人员进行决策,引导我国包装行业更好地向绿色模式转变。