直觉模糊层次分析法处理医院用药风险评价

基于直觉模糊集的模糊逼近理论,给出了将直觉模糊互补判断矩阵转换为模糊逼近矩阵的方法,提出了直觉模糊环境下的AHP方法,简称为直觉模糊层次分析法,将其应用于对医疗机构的用药风险的评价问题,给出了各子风险类别的权重。经检验,是一种实用性较强的医疗机构用药风险评价方法。     

基于集对可拓和改进层次分析法的铁路通信系统安全评估

针对现有高速铁路中LTE-R通信系统安全评估方法不足且评估过程存在模糊性和灰色性等问题,建立基于集对可拓和改进层次分析法的LTE-R通信系统风险评估模型.从影响通信系统的人、设备和网络等主要方面建立评估体系,确定风险评估指标和评价标准.利用改进层次分析法计算权重,基于集对可拓构建系统风险集对和计算风险联系隶属度,从而判...     

等级保护风险评估模型研究

文章针对信息系统风险评估易受主观因素的影响,存在模糊性和不确定性等问题,提出了一个新的风险评估模型。通过建立基于等级保护的层次化评估体系,并运用基于层次分析法的评估方法处理评估中存在的模糊值,最终量化评估结果。实证结果表明,该模型能够减小风险评估中的模糊性和不确定性,可以较好地解决信息系统风险评估的实际困难和问题。     

Fuzzy inference model for assessing occupational risks in construction sites

Occupational risk assessment is a key measure to reach safety in construction industries. The assessment process is involved with many parameters which are difficult to assess, due to inadequate data or imprecise information. So, traditional quantitative approaches fail, frequently, to assess risk levels and to identify adequate preventive measures. A Takagi-Sugeno type fuzzy inference system is developed in this article to overcome these lacunas. In the model formulation process, the risk factors and controlling factors for accidental injuries are considered as input parameters. Safety levels of each type of injury prone body parts are evaluated by using analytical hierarchy process. Subtractive clustering technique is used to reduce the number of rules and thereby an initial fuzzy inference system is generated. Finally, the initial model is updated by tuning all the parameters corresponding to the input variables using a hybrid learning process. The developed methodology has been applied to few selected construction sites in India. The derived results validate the applicability of the developed model for assessing risks in construction sites and also identifies the pertinent progress of existing safety strategies.     

Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management

Safety management (SM) is a very important element within an effective manufacturing organization. One of the most important components of SM is to maintain the safety of work systems in the workplace. Safety of work systems is a function of many factors which affect the system, and these factors affect the safety of work systems simultaneously. For this reason, measuring work system safety needs a holistic approach. In this study, the work safety issue is studied through the analytic hierarchy process (AHP) approach which allows both multi-criteria and simultaneous evaluation. Another limitation faced in SM is the inability to measure the variables exactly and objectively. Generally, the factors affecting work system safety have non-physical structures. Therefore, the real problem can be represented in a better way by using fuzzy numbers instead of numbers to evaluate these factors. In this study, a fuzzy AHP approach is proposed to determine the level of faulty behavior risk (FBR) in work systems. The proposed method is applied in a real manufacturing company. In the application, factors causing faulty behavior are weighted with triangular fuzzy numbers in pairwise comparisons. These factors are evaluated based on the work system by using these weights and fuzzy linguistic variables. As a result of this evaluation FBR levels of work systems are determined and different studies are planned for work systems according to the FBR levels. In this way, faulty behavior is prevented before occurrence and work system safety is improved.     

FAHP在软件项目风险优先级排序中应用

风险优先级排序是软件项目风险管理的重要环节。针对当前风险排序方法的不足,提出一种基于模糊层次分析法的风险排序方法。该方法引入层次分析法对风险事件进行分层,通过三角模糊数来表征专家判断信息,同时借助模糊风险判断矩阵实现了风险事件按风险发生概率、风险损失、风险不可控制性以及综合考虑三方面准则的优先级排序。最后,通过案例分析验证了该方法的可操作性和合理性。     

基于模糊数相似度的审判风险评估系统

随着审判管理日趋精细化,法院对审判风险精准化评估的需求逐渐增多,其中,如何有效进行审判风险等级定量分析是精准化风险评估的核心问题。现有的机器学习、风险矩阵等方法由于存在历史数据有限、审判风险评估精度要求高等不足,难以有效地应用于实际审判业务中。针对此问题,构建了基于模糊数相似度的审判风险评估模型,实现了多因素审判风险的定量评估。首先针对审判风险指标进行辨识,建立了基于AHP的多层级风险指标模型,以提升审判风险的分析粒度和评价客观性;然后,为了获取模糊风险测度,设计了基于混合输入的风险聚合模型,该模型应用流程信息来提高评估准确性,实现了审判风险指标的分类聚合;最后,构建了基于相似度算法的风险等级确定模型,该模型能够有效排除人为因素和异常数据的干扰,实现了审判风险等级的精准度量。基于审判风险评估模型,设计并实现了相应的评估系统,该评估系统包括风险计算、风险管理和风险预警模块,通过在实际法院管理系统中进行集成和应用,该评估系统有效优化了目前局限于审限预警的审判风险管理模式,进一步提高了审判管理的精细化程度。     

基于AHP-FCE的煤矿安全评价系统的研究

安全评价是煤矿安全管理系统的重要内容。文章结合层次分析法(AHP)和模糊综合评价(FCE)的基本理论,提出了一种新的基于AHP-FCE的煤矿安全评价系统。该系统针对煤矿安全评价因子建立层次结构模型,采用层次分析法构建比较矩阵,将成对比较矩阵的特征向量作为安全评价的权重,并采用模糊综合评价法对每个评价因子进行综合评价,从而确定评价因子的影响力排序。实例计算结果表明,基于AHP-FCE的煤矿安全评价系统操作简便,通用性好,计算结果较为准确和稳定。     

基于WOWA的信息安全风险模糊评估

从信息安全风险评估的原理和研究现状入手,将加权整理加权平均（WOWA）算子与模糊层次分析法进行合成,提出基于WOWA的信息安全风险模糊评估方法。通过实例分析可知,该方法可以有效地用于信息安全风险评估。     

Applying fuzzy hierarchy multiple attributes to construct an expert decision making process

The main objective of this paper is to propose an approach within the AHP framework for tackling the uncertainty and imprecision of service evaluations during pre-negotiation stages, where the expert’s comparison judgments are represented as fuzzy triangular numbers. A fuzzy prioritization method, which derives crisp priorities from consistent and inconsistent fuzzy comparison matrices, is described. The fuzzy analytic hierarchy process (FAHP)-based decision-making method can provide decision makers or buyer a valuable reference for evaluating software quality. A case study demonstrates the effectiveness of the proposed scheme. Importantly, the proposed scheme can assist decision makers in assessing the feasibility of digital video recorder system to management public space, making it highly applicable for academic and commercial purposes.     

基于自适应专家权重的信息系统风险评估模型

针对风险评估过程中存在专家权重难以合理设置,评估结果受专家主观性影响大等问题,提出一种基于自适应专家权重的信息系统风险评估模型SAEW-ISRA,给出一种细粒度专家权重自适应调整方法。首先,在评估过程中引入三角模糊数对风险指标属性评分;其次,根据专家评分模糊度描述专家知识量,结合与专家群体评分的距离构建后验权重,可使专家权重自适应调整,同时使用模糊层次分析法构建风险指标权重;然后,提出信息系统风险指标危险度量化方法,可计算风险值;最后,通过某信息系统的风险评估实例验证所提方法能达到更高的评估准确性,同时在一定程度上解决了评估过程中权重不合理问题。     

合成氨清洁生产监控系统设计与实现

清洁生产作为一套完整的可持续发展战略,已得到社会的广泛认同,但国内尚未实现清洁生产评估考核系统数据的整合。为解决这个问题,对基于InTouch的合成氨企业清洁生产监控系统实现方法进行了研究和开发,并在此基础上设计和实现了基于Matlab与InTouch混合编程的合成氨企业清洁生产在线评估考核示范系统。模糊分层评估算法给出了母系统和不同层次子系统清洁生产水平隶属度判断,评估结果验证了该示范系统的可行性和有效性。     

A fuzzy-probabilistic earthquake risk assessment system

This paper presents an outline of a risk assessment system for evaluating the expected damage of structures and the consequent financial losses and casualties due to a likely earthquake under elevated uncertain conditions; namely where neither the statistical data nor the seismological and engineering knowledge required for such evaluations are sufficient. In such cases, we should consider extra dimensions of uncertainty, in addition to probability that is usually sufficient for expressing the risk of losses and casualties due to an earthquake where such knowledge and data is available. In the present paper, the uncertainties caused by the insufficient knowledge about the interdependency of various parameters have been considered by means of fuzzy relations. Moreover, the uncertainties in eliciting the likelihood of the seismic hazard have been expressed by fuzzy probability in the form of possibility-probability distributions (PPDs). In other words, fuzzy set theory is employed to complement the standard probability theory with a second dimension of uncertainty. By composition of the fuzzy probability of the seismic hazard and fuzzy vulnerability relation of target structure, the fuzzy probability of damage can be derived. The proposed approach has also been compared with an alternative approach for obtaining a PPD of the hazard. As a case study, the risk assessment system has been tested on a sample structure in the Istanbul metropolitan area.     

基于模糊层次分析法的计算机网络安全评价

根据计算机网络的特点及网络安全涉及的因素,建立计算机网络安全评价的层次结构模型,运用基于三角模糊数的模糊层次分析法实现对网络安全的综合量化评价。实例的计算结果表明模糊层次分析法适用于定性判断的量化综合,它为计算机网络安全评价提供了一种探索性方法。     

An experimental comparison of fuzzy logic and analytic hierarchy process for medical decision support systems

The task of medical diagnosis is a complex one, considering the level vagueness and uncertainty management, especially when the disease has multiple symptoms. A number of researchers have utilized the fuzzy-analytic hierarchy process (fuzzy-AHP) methodology in handling imprecise data in medical diagnosis and therapy. The fuzzy logic is able to handle vagueness and unstructuredness in decision making, while the AHP has the ability to carry out pairwise comparison of decision elements in order to determine their importance in the decision process. This study attempts to do a case comparison of the fuzzy and AHP methods in the development of medical diagnosis system, which involves basic symptoms elicitation and analysis. The results of the study indicate a non-statistically significant relative superiority of the fuzzy technology over the AHP technology. Data collected from 30 malaria patients were used to diagnose using AHP and fuzzy logic independent of one another. The results were compared and found to covary strongly. It was also discovered from the results of fuzzy logic diagnosis covary a little bit more strongly to the conventional diagnosis results than that of AHP.     

Fuzzy and simulation-based techniques for industrial safety and risk assessment

This paper characterizes the development of a hybrid computer-based tool supporting design for safety practices in industrial plant component specification and layout definition. The tool combines simulation and fuzzy logic techniques for the systematic risk assessment of specified design and layout configurations for plants dealing with hazardous materials. In the hybrid system architecture, the simulation module provides the historical experience for a priori hazard identification and ranking, accounting for the domino effects of possible accidental occurrences, while the fuzzy module provides the correlation matrices for concurrent hazard evaluation and overall risk assessment. In particular, the fuzzy module enables the quantitative assessment and comparison among alternative design solutions providing design guidelines, which can be further tested and verified through simulation.     

A hybrid approach to asset allocation with simultaneous consideration of suitability and optimality

In this paper, we develop mathematical models for simultaneous consideration of suitability and optimality in asset allocation. We use a hybrid approach that combines behavior survey, cluster analysis, analytical hierarchy process and fuzzy mathematical programming.     

Quantitative risk assessment of railway intrusions with text mining and fuzzy Rule-Based Bow-Tie model

With the increasing traveling speed of railway transportation, rail right-of-way intrusions can cause high-consequence accidents and pose severe challenges to railway safety. Although intrusion detection technologies have been widely studied and applied, they can only support in-event inspection and post-event control. In the current complex environment, there is a critical need to analyze the causal chain of railway intrusions and mitigate safety risks before or during the risk evolution process. This paper developed a novel methodological framework on the cause-consequence model based on the text mining techniques and fuzzy bow-tie modeling to systematically investigate the railway intrusion risks. In order to mine both critical factors and their interrelationships, a lexical co-occurrence analysis was carried out on a customized corpus of intrusion accident recordings. Then structured bow-tie diagrams were developed based on the networks generated by unstructured data. To overcome the data uncertainty issue, this paper utilized cause-consequence-based probabilistic analysis and fuzzy theory to quantify the risks involving the occurrence probability of top events and outcomes in terms of expert judgements. The application of the proposed bow-tie model was demonstrated based on the case of the Hualien Derailment accident. The findings based on the bow-tie model and historical accidents in this research have systematically summarized basic events and causal chains. Ultimately, they can be utilized by researchers and practitioners both to identify the critical risk factors and enhance railway safety via proactive and reactive measures.     

基于AHP-SVM的信息系统风险评估

风险评估保证信息系统安全的一种重要技术,信息系统风险受到众多影响,具有动态性和时变性,为了提高信息系统风险评估的精度,提出一种层次分析法和支持向量机的信息系统风险评估模型（AHP-SVM）.首先对当前信息系统风险研究现状进行分析,并根据专家构建评估指标体系,然后利用层次分析法对评估指标权重进行估计,并根据支持向量机建立信息系统风险的评估模型,最后利用信息系统风险数据对对评估结果的可靠性进行测试.结果表明,本文模型可以合理确定评估指标的权重,可以描述信息系统风险因子与期望值间的变化关系,获得了理想的信息系统风险评估结果,具有一定的实际应用价值.     

Determining key capabilities in technology management using fuzzy analytic hierarchy process: A case study of Turkey

The importance of technology management is a vital determinant of long-run success or failure of organizations in today’s world. Since technology is a major driver of the global economic development, business professionals seek more effective ways to manage existing and emerging technology. This study proposes a model to understand the links between competitive advantages, competitive priorities and competencies of a firm in the context of the technology management. We use the fuzzy analytical hierarchy process (AHP) to analyze these links. Moreover, we examine the perception of a group of managers from different Turkish firms regarding the technology management. The main result of this paper is that the concept of the management of technology arises to be much more important than both the product technology and the process technology.