矿井通风系统模糊可靠性研究

定义模糊可靠度为一个服从正态分布的模糊数，并以模糊数作为通风系统的各风路可靠度，进而提出了矿井通风系统的模糊可靠度计算方法。同时在置信水平上，确定矿井通风系统的普通可靠度置信区间。若＝１，则模糊可靠度计算转化为可靠度计算。     

人为泥石流灾害严重等级的定量模糊综合评判

根据神府－东胜矿区人为泥石流的调查分析，选择１５个因素（含５个主控因素）作为其严重程度的评价因子，确定了四值逻辑（严、中、轻、否）评判的定量标准。应用模糊综合评判和分层定量模糊综合评判两种方法对该煤田６５条泥石流沟的严重等级进行综合判别，准确性达９３．１％，它为保护该地煤田建设和工农业生产提供了重要的科学依据。     

空中交通管制中人的可靠性模糊综合评价研究

人是空中交通管制系统中最灵活、最具适应性和最有价值的因素 ,而其行为也是最易受到不利影响的。由于空中交通管制中产生的人为失误 ,往往会导致航空器空中危险接近 ,严重的后果甚至会酿成空难。笔者从人 -机 -环境系统工程的观点出发 ,提出了空中交通管制中人的可靠性评价的指标体系结构模型。从人自身因素、软件、硬件、环境等方面指出了影响空中交通管制中人的可靠性的心理、空中环境等 17个子因素。运用模糊数学的方法 ,建立空中交通管制中人的可靠性定量评价模型 ,并用实例进行了验证。研究表明 ,该方法应用于空中交通管制中人的可靠性评价是一种新的尝试 ,其评价结果可为各级领导机构提供航空安全管理的决策依据。     

基于BP网络的建筑安装施工现场安全综合评价的研究

针对目前我国建筑安装施工现场安全评价技术的不成熟和欠科学性的现状 ,笔者分析和综合了目前安全评价技术 ,结合建筑业特点 ,提出了基于BP神经网络的建筑安装施工现场安全评价方法 ,并对该评价模型的原理、方法及算法进行了研究。首先 ,结合建筑安装施工现场安全生产的特点建立评价指标体系 ,随后 ,运用层次分析法确定指标及准则层的权重 ,并运用模糊综合评价法生成评价样本集 ,最后 ,利用样本集训练BP网络 ,待误差满足要求后 ,即可运用训练成功的BP神经网络进行安全评价。     

模糊集值统计法在煤矿安全评价指标权值中的应用

应用模糊集值统计的理论 ,对煤矿安全评价中具有随机性和模糊性的指标进行数学分析 ,进一步改进了其权值的确定方法 ,使其更加符合实际情况 ,并对由此得出的权值进行了可靠性分析。通过实例表明 ,该方法克服了经典统计法的不足 ,提高了煤矿安全评价的实用性和科学性     

旅游区(点)安全评估体系初探

旅游区的安全状况越来越受到各级政府的广泛关注,规范旅游景点安全管理已成当务之急.文章以模糊数学和层次分析理论为指导构建了旅游区(点)安全评估指标体系和评价模型,评价过程考虑了影响安全等级的相关因素,并保留了各级评价的全部信息.实例采用典型的旅游景点指标数据,评价结果直观地反映了旅游区的安全状况.     

Status and fuzzy comprehensive assessment of combined heavy metal and organo-chlorine pesticide pollution in the Taihu Lake region of China

The status of combined heavy metal and organo-chlorine pesticide (OCPs; i.e. HCH and DDT) pollution was investigated and the soil environmental quality of the Taihu Lake watershed, one of the most developed regions in China, was evaluated using a fuzzy comprehensive assessment. Statistical analyses showed the presence of combined pollution in the soil. At many sampling sites, heavy metal concentrations were above corresponding background values, indicating the effects of extraneous pollutants. It has been over 20 years since China banned the use of OCPs, but they can still be found in soil samples of this region. HCH levels at all investigated sites were below the Chinese Environmental Quality Standard for Soils. Fuzzy comprehensive assessment showed that the overall soil quality in this region could be categorized as class I. Nevertheless, the high coefficients of variation for levels of DDT, Cd and Hg indicated the existence of some point-source pollution. Continuous monitoring and further studies of the region are recommended to prevent pollution of farmland from these sources.     

A hybrid decision-making approach based on FCM and MOORA for occupational health and safety risk analysis

IntroductionWith the development of industries and increased diversity of their associated hazards, the importance of identifying these hazards and controlling the Occupational Health and Safety (OHS) risks has also dramatically augmented. Currently, there is a serious need for a risk management system to identify and prioritize risks with the aim of providing corrective/preventive measures to minimize the negative consequences of OHS risks. In fact, this system can help the protection of employees’ health and reduction of organizational costs. Method: The present study proposes a hybrid decision-making approach based on the Failure Mode and Effect Analysis (FMEA), Fuzzy Cognitive Map (FCM), and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) for assessing and prioritizing OHS risks. After identifying the risks and determining the values of the risk assessment criteria via the FMEA technique, the attempt is made to determine the weights of criteria based on their causal relationships through FCM and the hybrid learning algorithm. Then, the risk prioritization is carried out using the MOORA method based on the decision matrix (the output of the FMEA) and the weights of the criteria (the output of the FCM). Results: The results from the implementation of the proposed approach in a manufacturing company reveal that the score at issue can overcome some of the drawbacks of the traditional Risk Priority Number (RPN) in the conventional FMEA, including lack of assignment the different relative importance to the assessment criteria, inability to take into account other important management criteria, lack of consideration of causal relationships among criteria, and high dependence of the prioritization on the experts’ opinions, which finally provides a full and distinct risk prioritization.     

Fuzzy experts on recreational vessels, a risk modelling approach for marine invasions

Understanding risks from the human-mediated spread of non-indigenous species (NIS) is a critical component of marine biosecurity management programmes. Recreational boating is well-recognised as a NIS pathway, especially at a regional scale. Assessment of risks from this pathway is therefore desirable for coastal environments where recreational boating occurs. However, formal or quantitative risk assessment for the recreational vessel pathway is often hampered by lack of data, hence often relies on expert opinion. The use of expert opinion itself is sometimes limited by its inherent vagueness, which can be an important source of uncertainty that reduces the validity and applicability of the assessment. Fuzzy logic, specifically interval type-2 fuzzy logic, is able to model and propagate this type of uncertainty, and is a useful technique in risk assessment where expert opinion is relied upon. The present paper describes the implementation of a NIS fuzzy expert system (FES) for assessing the risk of invasion in marine environments via recreational vessels. The FES was based on expert opinion gathered through systematic elicitation exercises, designed to acknowledge important uncertainty sources (e.g., underspecificity and ambiguity). The FES, using interval type-2 fuzzy logic, calculated an invasion risk value (integrating NIS infection and detection probabilities) for a range of invasion scenarios. These scenarios were defined by all possible combinations of two vessel types (moored and trailered), five vessel components (hull, deck, internal spaces, anchor, fishing gear), two infection modes (fouling, water/sediment retention) and six frequently visited marine habitats (marina, mooring, farm, ramp, wharf, anchorage). Although invasion risk values determined using the FES approach was scenario-specific, general patterns were identified. Moored vessels consistently showed higher invasion risk values than trailered vessels. Invasion risk values were higher for anchorages, moorings and wharves. Similarly, hull-fouling was revealed as the highest infection risk mode after pooling results across all habitats. The NIS fuzzy expert system presented here appears as a valuable prioritising and decision-making tool for NIS research, prevention and control activities. Its easy implementation and wide applicability should encourage the development and application of this type of system as an integral part of biosecurity, and other environmental management plans.     

太湖流域水资源可持续利用评价研究

为了全面了解太湖流域水资源开发利用状况,加强流域水资源综合管理,根据水资源可持续利用的涵义和太湖流域的实际情况,构建太湖流域水资源可持续利用评价指标体系,利用模糊综合评判法和灰色关联分析法分别对太湖流域2008年水资源可持续利用状况进行评价,两种模型计算结果均表明,2008年太湖流域水资源可持续利用处于中上水平,其主要制约因素主要表现在水环境状况和水生态状况问题较为严重。