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Addressing Human Factor in Civil Engineering Using a Holistic Fuzzy Approach

机译:使用整体模糊方法解决土木工程中的人为因素

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Engineering systems comprise different kind of components. In one hand typical technological elements well known in the profession and in the other, people involved in all activities from design to decommission. Sometimes the first are thought of as embedded in the second, the so called Human Factor (HF), on which they depend. In addition, available statistics information shows that most engineering failures are caused by HF. Based on this it seems to be restrictive to talk of failures in engineering systems purely in technical terms. Technical and not technical elements differ from each other in nature and thus have different type of associated uncertainties. In modeling the first ones, the stochastic, probabilistic techniques have demonstrated to be powerful and valid tools. Nevertheless HF characteristics which are epistemic need an alternative approach to be included as they are qualified rather than quantified. In fact the idea is to keep HF under acceptable levels replacing the concept of solution by control. A holistic approach based on fuzzy logic is presented in this paper to model control on HF. Fuzzy logic allows including not only subjective and objective data but imprecise information as propositions under this perspective may have different degrees of truth. In this way decision makers can count with more solid basis to guide their future actions.
机译:工程系统包含不同种类的组件。一方面,专业中众所周知的典型技术元素,另一方面,人们参与从设计到退役的所有活动。有时第一个被认为是嵌入第二个,即它们所依赖的所谓的人为因素(HF)。此外,可用的统计信息表明,大多数工程故障是由HF引起的。基于此,纯粹从技术角度讲工程系统中的故障似乎是有限制的。技术元素与非技术元素本质上彼此不同,因此具有不同类型的相关不确定性。在对第一个模型进行建模时,随机概率技术已被证明是功能强大且有效的工具。然而,由于具有HF的特征而不是量化的,因此具有流行性的HF特征需要采用其他方法。实际上,其想法是使HF保持在可接受的水平,以代替通过控制解决方案的概念。提出了一种基于模糊逻辑的整体方法对HF控制进行建模。模糊逻辑不仅允许包含主观和客观数据,而且还可以包含不精确的信息,因为在这种情况下,命题可能具有不同的真实度。这样,决策者可以依靠更坚实的基础来指导他们的未来行动。

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