Atanassov's intuitionistic fuzzy risk estimation of the ship system failures based on the expert judgments

Hoang Nguyen
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Abstract

In the safety engineering, risk estimation is in practice confronted with difficulties connected with shortage of data. In such cases, we have to rely on subjective estimations made by persons with practical knowledge in the field of interest, i.e. experts. However, in some realistic situations, the decision makers might be reluctant or unable to assign the crisp values to the evaluation judgments due to his/her limited knowledge. In other words, there is a certain degree of hesitancy in human cognition and his/her judgment. The probabilistic approach turns out to be insufficient in modeling the subjective uncertainty. Taking advantages of the Atanassov's intuitionistic fuzzy sets in dealing with ambiguity and uncertainty into account, they can be used to handle with the subjective evaluations of experts, who may have insufficient knowledge of the problem domain or uncertainty in assigning the evaluation values to the objects considered. This paper addresses the Atanassov's intuitionistic fuzzy methods in the risk estimation of the ship system failures based on the expert judgments.
基于专家判断的Atanassov船舶系统故障的直觉模糊风险估计
在安全工程中,风险评估在实践中面临着数据不足的困难。在这种情况下,我们必须依靠在相关领域具有实际知识的人,即专家所做的主观估计。然而,在一些现实情况下,决策者可能会因为自己的知识有限而不愿意或无法为评价判断赋予清晰的价值。换句话说,人的认知和判断存在一定程度的犹豫。结果表明,概率方法在模拟主观不确定性方面存在不足。利用Atanassov的直觉模糊集在处理模糊性和不确定性方面的优势,它们可以用来处理专家的主观评价,这些专家可能对问题领域的知识不足,或者在给所考虑的对象分配评价值时存在不确定性。本文研究了基于专家判断的Atanassov直觉模糊方法在船舶系统故障风险评估中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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