基于模糊综合评价的机场周界安全

基于模糊数学理论, 运用模糊综合评价原理, 构建民用机场周界防范系统模糊综合评价模型. 对周界防范系统的子系统进行模糊评价, 以期达到检测各个子系统的安全稳定性目的, 将综合值划分成若干区间, 并分别对应于机场组织的四种状态, 即: 危机状态[1, 0.75]、低度危机状态[0.75, 0.5]、基本正常状态[0.5, 25]和正常管理状态[0.25, 0]. 当计算出的综合评价值处于上述某个值域区间时, 可直观地显示出机场周界安全的具体状态.     

基于模糊综合评价的优秀教练选择

优秀的大学教练在竞技运动比赛中担任着重要的作用。本文建立了一种基于模糊综合评价的优秀教练选择模型,根据专家的评价对教练划分等级来筛选出评价等级高的教练,通过模糊综合评价确定每一位教练的等级。再用层次分析处理等级最高的教练,即可评选出最优秀的教练。     

CAI课件的评价体系与模糊综合评价

CAI是一项前景广阔的教育技术，近几年来发展很快，但还存在不少问题。本文分析了影响CAI课件质量的若干因素，构造了一个CAI课件评价体系，并应用多级模糊综合评价方法对一实例进行了评价，希望对CAI课讲的开发、选购与评价有所帮助和启示。     

一种灰色模糊油田区块水驱指标评价模型

针对油田开发中的不确定因素,结合油藏开发因素中的定性化指标,提出了一种基于油田开发水驱指标的模糊综合评价模型.通过灰色关联法定量筛选影响油田开发水驱因素的九项指标,运用层次分析法确定了各指标的权重,结合模糊数学中的判断矩阵实现了油田各区块的模糊综合评价.此方法不仅可以对所有区块进行总体评价,还能对各个具体区块进行精细的评价,为油田开发与管理提供了有效的指导.最后,通过实际例子验证了模型的有效性以及可行性.     

基于AHP的高校网站模糊综合评价

本文建立了我国高校网站评价的指标体系,并用指数标度的层次分析法确定评价指标的权重,并结合实际用模糊综合评价法研究了高校网站的评价问题.     

模糊综合评价法在风险评估中的应用

在风险评估过程中究竟使用何种方法来进行评估,对整个评估过程和评估结论起着举足轻重的作用。本文介绍了模糊综合评价的基本思想和方法,给出了模糊综合风险评估法的实施过程,并举例说明了该方法的应用。     

基于熵的网络学习模糊综合评价方法

在根据网络学习的特点、建立网络学习评价系统指标体系的基础上,提出利用模糊熵理论评价网络学习效果的模型.该模型通过熵权法对各评价指标权重进行修正得到客观权重值,并与主观权重结合计算出综合权重,然后利用模糊理论进行处理得到综合评价值,改善了传统评价方法主观因素影响过多的弊端,提高了评价结果的可信度,并实验验证了该方法的可行性和正确性,确保了网络学习评价公平公正地进行.     

警务绩效的模糊综合评价方法研究

警务绩效评估有利于强化警察机构的组织管理,提高警察的工作效能。针对警务绩效的综合评价问题,制定了警务绩效评估原则,建立了多因素、多层次的警务绩效评价指标体系,并基于模糊数学的评判理论,提出对警务绩效进行整体评价的多级模糊综合评价方法,最后通过一个应用实例,验证了该方法的有效性和实用性。     

基于灰色模糊综合评判的电子商务安全评估

针对电子商务安全评估问题,提出了一种基于灰色模糊综合评判的电子商务安全评估方法,以获得对电子商务安全合理的评价结果。通过分析电子商务系统的特点以及相关的信息安全标准,建立电子商务安全评估指标体系;根据指标体系,结合灰色模糊数学中隶属度和灰度的相关理论分析电子商务安全问题,建立灰色模糊综合评判模型;最后利用灰色模糊综合评判法,根据专家打分,对电子商务安全进行评估,最终确定电子商务系统的安全等级。通过实例计算表明,灰色模糊综合评判法适用于电子商务安全评估问题。     

基于4M-C-I煤矿安全评价指标体系的灰色关联分析

针对现有煤矿安全评价指标体系不能全面体现事故发生根本原因的问题,从人员、设备、环境、管理、安全文化和安全信息6个方面分析了煤矿安全评价影响因素,给出了煤矿事故轨迹交叉致因模型,建立了煤矿安全评价指标体系,对影响煤矿安全事故的因素进行灰色关联分析,明确各因素间的耦合及关联关系。应用结果表明,该分析能客观评价煤矿企业的真实安全程度,为煤矿事故预测提供实施决策管理。     

模糊控制与灰色模型混合推理机制及其应用

1.引言 不精确推理是人工智能中的一个重要问题,其目的是要寻求一种形式化的方法,表达各种不精确知识,能有效地利用这些知识进行推理,同时计算过程简单易于实现,现在已提出了许多方法,质的     

基于集成赋权的微信营销效果模糊综合评价

为了客观地评价微信营销效果,进而为企业总结营销状况、调整营销策略提供依据,提出了运用熵值集成赋权确定指标权重的微信营销效果模糊多级综合评价模型。首先以层次分析模型为基础对微信营销效果的影响因子进行总结并分层,再运用双基点熵权法改进多级指标权重的处理过程,从而得到客观的赋权值,并与Delphi法结合集成赋权确定最终权重,进而运用改进的模糊多级评价模型对微信营销效果进行综合评价,最后对5家微店的微信营销效果做了实证分析。实证应用结果表明基于熵值理论的集成赋权法,不仅克服了现阶段评价方法存在指标赋权过程受人为因素影响较大的缺点,也体现了专业意见的重要性。改进的模糊综合评价模型结合专家意见和实际数据挖掘,评价结果更符合实际情况。     

联合站仪表控制系统安全性的模糊评价

联合站是原油集输处理的中心。仪表控制系统作为联合站的重要组成部分,对其安全评价尤其重要。文章提出采用模糊评价的方法来对联合站仪表控制系统进行安全预测和分析,以寻找其中的薄弱环节。     

模糊综合评价模型在网络系统安全性评估中的应用研究

本文研究了运用模糊综合评估模型对网络系统安全性进行评估的应用方法,较好地解决了评估的模糊性,也在一定程度上解决了从定性到定量的难题。     

An integrated driver warning system for driver and pedestrian safety

A semi-integrated system for driver assistance and pedestrian safety is presented. This system is composed of a single camera which focuses on the driver for picking up visual cues and a stereo rig that focus on the road ahead for the detection of road obstructions and pedestrians. While the car is in motion, the driver's viewing direction is obtained and analyzed along with information of road condition and any moving vehicle ahead in order to determine if the current driving condition is safe. In addition, when the vehicle is moving slowly, the system can also detect the existence of a pedestrian ahead and warns the driver if the pedestrian moves in front of the car. This system contains algorithm-based safety analysis as well as fuzzy rules-based analysis for interaction between variables. Our experimental results show that the condition for driver safety can be accurately classified in 94.5% of the tested driving conditions, and the pedestrians can be identified in 93.18% of the tested cases. These were compared to the results of similar systems and shown to be superior.     

多区域互联综合能源系统的双层博弈优化运行

为保障用户日益增长的能源消费需求、提高能源利用率,本文面向多区域综合能源系统,考虑综合需求响应,提出基于聚合商和用户双层博弈的优化运行方法.在包含聚合商、用户、综合能源系统和能源互联网络的多园区综合能源系统架构的基础上,建立了包括下层用户间非合作博弈和上层聚合商联盟合作博弈的双层博弈优化模型.其中,上层聚合商以多区域综...     

Integrating Fuzzy C-Means and TOPSIS for performance evaluation: An application and comparative analysis

In this paper we introduce a multi-method multiple criteria approach for evaluating the performance of organizations. Performance analysis may include both strategic and operational performance, as well as financial and other less tangible factors. This paper introduces the use of Fuzzy C-Means and TOPSIS for organizational performance evaluation purposes. Using real company data and balanced scorecard accounting and performance dimensions the methodology is applied and evaluated. The predictive abilities of the technique from an organizational performance evaluation approach are evaluated using this data. One of the results from the illustrative application is that economic performance evaluation is not the best predictor of overall viability of some organizations, especially e-commerce based organizations.     

An integrated DEMATEL and Fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company

In recent years, strategy aspects related to core competency, risk analysis and organizational flexibility especially have been growing. This trend has led researchers and industries to become more interested in the multi-criteria decision making (MCDM) models for selecting outsourcing providers. The efficiency of decision-making mostly depends on the ability of decision-makers analyzing the complex cause and effect relationship between criteria and taking effective actions based on the analysis. Using an analytical method to select the most eligible outsourcing provider is significant for a company which desires to improve its competitiveness. In this study, a fuzzy integrated multi-criteria decision making method for evaluation and determination of an outsourcing provider for a telecommunication company is analyzed by using DEMATEL and Fuzzy ANP multi-criteria decision making techniques. First, DEMATEL method is used in order to put forward the interrelationship among the main criteria which are determined in the study for outsourcing selection process. Then, local weights of the sub-criteria and sub-subcriteria are calculated by Fuzzy ANP approach on the basis of cause-effect relationships that are exposed through DEMATEL method. The local weights are put into ANP supermatrix, and calculations are implemented to select out the most eligible outsourcing provider.     

Fuzzy inference system for software product family process evaluation

When developing multiple products within a common application domain, systematic use of a software product family process can yield increased productivity in cost, quality, effort and schedule. Such a process provides the means for the reuse of software assets which can considerably reduce the development time and the cost of software products. A comprehensive strategy for the evaluating the maturity of a software product family process is needed due to growing popularity of this concept in the software industry. In this paper, we propose a five-level maturity scale for software product family process. We also present a fuzzy inference system for evaluating maturity of software product family process using the proposed maturity scale. This research is aimed at establishing a comprehensive and unified strategy for process evaluation of a software product family. Such a process evaluation strategy will enable an organization to discover and monitor the strengths and weaknesses of the various activities performed during development of multiple products within a common application domain.