基于Fuzzy模型的职业病危害综合风险评估方法研究

为有效评估作业场所职业病危害的风险大小,研究职业病危害综合风险评估方法。在综合考虑作业场所职业病危害的固有危害特征、接触特征、防护特征和健康影响特征等风险影响因素的基础上,采用层次分析和专家咨询法筛选和建立了职业病危害综合风险评价指标体系,研究制定了各评价指标的分级评价准则,利用模糊数学理论,构建了基于Fuzzy模型的职业病危害综合风险评价模型。该方法可以对职业病危害的综合风险进行评估,并能够确定风险控制的优先权,避免了传统单一指标评价的局限性,对职业病危害评价工作具有一定借鉴意义。     

资源产权与道德的起源:演化博弈论的诠释

论文在一个演化经济学视角下考察资源产权和道德(以下简称为产权和道德)自生自发问题。首先,简略地梳理了产权生发研究的历史;介绍了应用博弈论,特别是演化博弈论研究产权生发问题的近况,并指出其不足之处在于博弈支付的社会经济学含义模糊和无法揭示行为博弈与博弈环境相互作用、共同演化的过程。其次,扩展了生物遗传学中适应度的概念,使其适于社会演化分析;分析了社会经济学适应度的构成及其与竞争类型的关系。第三,为了说明行为博弈与博弈环境之间的相互作用关系,在传统复制者动态方程组中,引入状态方程(或组)。第四,采用改进后的复制者动态方程组分析产权和道德自生自发的机理和过程,指出产权和道德都是人类无节制争斗和无约束生育的产物。最后,分析了洛克社会的三大不足,及其继续演化的动力。     

Chaos and complexity in development

SUMMARY

The paper outlines some main features of chaos theory. Examples of chaotic systems in society and the environment are given. Spontaneous interaction of components, without being planned or directed, is known as ‘self-organising behaviour’. Chaos is an essential aspect of this self organisation, occurring in many forms. A chaotic system is defined as one that shows sensitivity to initial conditions. If the errors relative to the initial conditions become too great, the system will eventually collapse. Development projects are sensitive to such initial conditions. In particular, two examples in development are outlined in some detail and commented upon. One is the occurrence of a project promoting self-organising systems among the poorest of the poor. The other outlines how rehabilitation after resettlement in a power project has transgressed the ‘edge of chaos’ socio-emotionally, in spite of the socioeconomic development being good.     

Research on flood risk analysis and evaluation method based on variable fuzzy sets and information diffusion

Floods have become increasingly alarming worldwide. Flood risk management in terms of assessing disaster risk properly is a great challenge that society faces today. Natural disaster risk analysis is typically beset with issues such as imprecision, uncertainty, and partial truth. There are two basic forms of uncertainty related to natural disaster risk assessment, namely, randomness caused by inherent stochastic variability and fuzziness due to macroscopic grad and incomplete knowledge sample. However, the traditional probability statistical method ignores the fuzziness of risk assessment with incomplete data sets and requires a large sample size of data. The fuzzy set methodology is introduced in the area of disaster risk assessment to improve probability estimation. The purpose of the current study is to establish a fuzzy model to evaluate flood risk with incomplete data sets. The present paper puts forward a composite method based on variable fuzzy sets and information diffusion method for disaster risk assessment. The results indicate that the methodology is effective and practical; thus, it has the potential to forecast the flood risk in flood risk management. We hope that by conducting such risk analysis, the impact of flood disasters can be mitigated in the future.     

Handling and updating uncertain information in bow-tie analysis

Bow-tie analysis is a fairly new concept in risk assessment that can describe the relationships among different risk control parameters, such as causes, hazards and consequences to mitigate the likelihood of occurrence of unwanted events in an industrial system. It also facilitates the performance of quantitative risk analysis for an unwanted event providing a detailed investigation starting from basic causes to final consequences. The credibility of quantitative evaluation of the bow-tie is still a major concern since uncertainty, due to limited or missing data, often restricts the performance of analysis. The utilization of expert knowledge often provides an alternative for such a situation. However, it comes at the cost of possible uncertainties related to incompleteness (partial ignorance), imprecision (subjectivity), and lack of consensus (if multiple expert judgments are used). Further, if the bow-tie analysis is not flexible enough to incorporate new knowledge or evidence, it may undermine the purpose of risk assessment.Fuzzy set and evidence theory are capable of characterizing the uncertainty associated with expert knowledge. To minimize the overall uncertainty, fusing the knowledge of multiple experts and updating prior knowledge with new evidence are equally important in addition to addressing the uncertainties in the knowledge. This paper proposes a methodology to characterize the uncertainties, aggregate knowledge and update prior knowledge or evidence, if new data become available for the bow-tie analysis. A case study comprising a bow-tie for a typical offshore process facility has also been developed to describe the utility of this methodology in an industrial environment.     

事故致因理论:缺陷塔模型

为建立新的事故模型,首先以马克思主义的唯物辩证法为指导,针对事故内因、外因确定5对连锁因果关系,引入生产、事故、物质、能量、作业场所、安全管理、企业、政府和社会等安全要素,与故障树分析方法密切结合,建立缺陷塔模型(FTM)。然后,借鉴计算机科学面向对象编程的理念,定义塔体、塔段、塔壁、缺陷缝、管道、阀门共6种对象,规定了对象的主要属性,实现模型的三维可视化。     

教练直升机训练系统安全评价研究

为保证教练直升机的使用安全,预防事故发生,针对当前教练直升机安全风险决策数据量少、存在模糊的特点,提出基于模糊D-S证据理论的教练直升机训练系统安全评价模型。从人-机-环-管4个系统出发,建立教练直升机训练系统安全评价指标体系,运用模糊评价技术评估教练直升机系统安全影响因素,利用D-S证据理论的层次递归算法对不同层次影响因素的评估等级进行合成,并以某型教练直升机为例,给出评价步骤。结果表明:该方案适用于研究教练直升机训练系统安全评价;根据安全性量化值,能够实现按安全性能优劣对系统的快速排序。     

多元联系数的集对分析法在城市燃气埋地管道系统危险性评价中的应用

城市燃气埋地管道系统中存在诸多不确定因素,集对分析是处理不确定性问题的系统分析方法,它将系统中确定与不确定因素作为一个整体进行处理。针对多元联系数集对分析评价方法存在的不足,讨论其使用条件,运用集对分析的多元联系数对系统的危险等级进行划分。为了减轻评价者的主观影响,根据评价专家的综合素质,对评价专家进行权重赋值。最后将评价结果与集对势相结合对系统的危险性进行综合分析,使得评价结果更符合系统的发展变化特点。     

铁路车务系统安全保障体系研究

以分析铁路车务系统安全管理现状为出发点,提出了"红线"管理理论,运用系统安全理论,构建了铁路车务系统安全保障体系框架,具体包括安全预防体系和应急响应体系两部分,并且分别从理论、技术和"红线"管理理论三方面进行了分析。