Quantifying reputation loss of pipeline operator from various stakeholders’ perspectives – Part 1: Prioritization

Quantifying reputation loss (RL) due to pipeline damage is commonly generalized based on the owner's definition. This one-way perspective of portraying RL is unfair and unrealistic and consequently miscalculates the impact assessment of pipeline damage; hence, inaccurate risk prediction. It is crucial to develop a model to quantify qualitative RL to avoid unpredicted risk. Thus, this article provides a framework for a procedure to calculate RL by utilizing the factors identified in a previous study. In this paper (Part 1), the prioritization of factors based on the stakeholders' perspectives is presented. The factors were grouped into stakeholder-influenced categories and prioritized by a fuzzy analytic hierarchy process based on the feedback gained from the stakeholders, i.e., investors, customers, employees and the public. The result shows that factor D3, “Accident severity”, was ranked highest by all stakeholders. The priority vector for each factor obtained was assigned as a weight of the factor. The pipeline owner's reputation loss model (RLM) is developed by applying the obtained priority vectors in the subsequent paper (Part 2). The developed model was verified by experts as a comprehensive, clear, objective, practical and moderately reliable model. The model was applied to a case study and eventually produced a lower risk value when compared with the currently used model. It is proven that RL factors can be quantitatively measured and can simultaneously improve pipeline damage impact assessment. Thus, a risk-based inspection schedule can be managed comprehensively.     

化工过程中毒事故风险的模糊综合评估

影响化工过程中毒事故风险性的不确定因素较多,其风险具有相对性且大部分因素具有模糊性的特点。为此,笔者建立了化工过程多级多指标中毒事故风险评估指标体系,根据模糊优选理论,提出了中毒事故风险的模糊综合评估模型,运用模糊层次分析法确定各指标权重,结合有关统计数据及工厂实际,对化工过程潜在的中毒事故风险性进行模糊综合评估,所获结果为化工过程中毒事故的综合防治提供了理论依据     

Measuring sustainable governance in the European Union

This paper examines the problem of measuring sustainable governance in the European Union (EU-27) through the use of duality and the Slutsky equation. The proposed methodology is based on the application of a three-dimensional optimisation model, where the arguments of the objective (sustainable social welfare) function are economic goods that contribute to sustainable economic growth; environmental goods that provide for sustainable environmental protection; and social goods through which sustainable social development is achieved. The dual problem, formulated through this three-dimensional theoretical model, is solved to find the optimal solution, indicating a certain sustainability level. We suggest that this solution can be used for calculating the value of what we define here as the sustainable governmental policy indicator, which is considered to provide quantitative measurement of government policies on sustainable development within the context of ‘good governance’. Furthermore, it is suggested that the Slutsky equation can be used as a reliable method for long-term monitoring and planning of national as well as international good governance with regard to sustainable development policies. In its empirical part, the paper applies the theoretical model in an analysis of the sustainable development indicators (as set out in the Sustainable Development Strategy (SDS) of the EU) in Bulgaria for the period 2000–2010 and compares them to those of the EU-27.     

城市大气采样点的模糊聚类优选方法

运用数理统计模糊聚类分析方法对各大气采样点获得的监测数据进行聚类相关分析,优选出较科学、合理且足以能反映城市大气污染水平、分布特征及时空变化规律的采样点。文中详细介绍了优选方法。     

模糊聚类法在化学事故中未知化学品判断的应用研究

介绍一种基于微机的有毒有害物质判定方法。用模糊聚类分析法对已有化学品知识库分类。通过对化学品事故现场观察到的综合信息的核查和量化，根据一个判定准则和优化方案，找到未知化学品的归属，同时给出一个比较保守的判断结果，作为突发事故的急救处理和对环境危害的快速评估依据。     

安全程度的可能性分析方法

提出了安全程度的模糊风险度量方法。在模糊可能性理论基础上研究了非确定因素危险程度的量化表示方法。提出了模糊系统安全分析的逻辑模型。这一方法是与基于概率理论之上的方法完全不同的安全分析方法。给出了基于概率可能性和模糊可能性基础上的安全程度的含义和系统安全分析方法及适用条件     

城市自然灾害风险评价的二级模型

利用模糊集方法建立了城市自然灾害风险评价的二级模型。二级模型适用于单一致灾因子的分析。结合文[1]提出的一级模型,即可构成完整的城市自然灾害风险评价体系。     

气象灾害评定的一种模糊数学方法：以四川盆地为例

本文通过建立气象灾害评定的模糊数学模式,对四川盆地农业气象灾害进行评定。使评定语言从定性跃入定量,评定对象从单类展向整体,而且评定时序从无序深入有序,得到了一致的历史序列。     

Sustainability at the Local Scale: Defining Highly Aggregated Indices for Assessing Environmental Performance. The Province of Reggio Emilia (Italy) as a Case Study

In order to achieve improved sustainability, local authorities need to use tools that adequately describe and synthesize environmental information. This article illustrates a methodological approach that organizes a wide suite of environmental indicators into few aggregated indices, making use of correlation, principal component analysis, and fuzzy sets. Furthermore, a weighting system, which includes stakeholders’ priorities and ambitions, is applied. As a case study, the described methodology is applied to the Reggio Emilia Province in Italy, by considering environmental information from 45 municipalities. Principal component analysis is used to condense an initial set of 19 indicators into 6 fundamental dimensions that highlight patterns of environmental conditions at the provincial scale. These dimensions are further aggregated in two indices of environmental performance through fuzzy sets. The simple form of these indices makes them particularly suitable for public communication, as they condensate a wide set of heterogeneous indicators. The main outcomes of the analysis and the potential applications of the method are discussed.