The eco-environmental vulnerability is an important indicator of the development in wetland. However, the vulnerability is influenced by various interacting factors. The interaction among these factors is fuzzy and stochastic, making it difficult to describe the evaluation results accurately and quantitatively. To overcome the difficulty, this study takes the Yellow River Delta wetland as object, and makes an accurate vulnerability evaluation. Through investigations, the author establishes a four-layer evaluation indicator system, including a target layer, a criterion layer, an indicator layer and an element layer. The cloud model theory is introduced to describe qualitative indicators. Meanwhile, two cloud models are constructed, respectively, the comment layer and the membership of the element layer. In addition, the indicator weight is solved by the queuing theory. In this way, the state of each indicator is quantified in an accurate manner. The results show that the comprehensive evaluation of the eco-environmental vulnerability in the study area is C (0.697, 0.083, 0.017) and the corresponding eco-environmental vulnerability falls to the “strong vulnerability” level. The results, compared with the catastrophe progression method, are valid. The research results provide technical support for the comprehensive evaluation of eco-environmental vulnerability in wetland.

生态环境脆弱性是湿地发展的重要指标。但是，该漏洞受各种交互因素的影响。这些因素之间的相互作用是模糊的和随机的，因此难以准确，定量地描述评估结果。为克服这一困难，本研究以黄河三角洲湿地为对象，进行了准确的脆弱性评价。通过调查，建立了一个四层的评价指标体系，包括目标层，标准层，指标层和要素层。引入云模型理论来描述定性指标。同时，构建了两个云模型，分别是注释层和元素层的成员资格。此外，指标权重由排队论解决。这样，可以准确地量化每个指标的状态。结果表明，研究区生态环境脆弱性的综合评价为C（0.697、0.083、0.017），相应的生态环境脆弱性降至“强烈脆弱性”水平。与巨灾进展法相比，该结果是有效的。研究结果为湿地生态环境脆弱性的综合评价提供了技术支持。