Coasts worldwide are facing enormous challenges relating to extreme water levels, inundation and coastal erosion. These challenges need to be addressed with consideration given to the need for infrastructure such as for ports and other socio-economic developments, especially for coastal tourism. Choosing the optimal decision support tools (DSTs) for coastal vulnerability and resilience assessment is a major challenge for decision-makers and coastal planners. The robustness and flexibility of coastal decision-making can be improved by using effective DSTs, particularly for the management of coastal hazards. This study provides an overview of the construction and use of decision support systems (DSSs) as combinations of DSTs, such as the commonly used multi-criteria decision analysis (MCDA) methods and an artificial neural network (ANN), integrated with a geographical information system (GIS). The experience of many researchers is that the combination of MCDA techniques based on fuzzy logic, analytical hierarchy process (AHP) and weighted linear combination (WLC), with GIS, and possibly also incorporating ANN, provides decision-makers with a comprehensive tool for efficiently calculating decision support indices (DSIs). Hybrid tools are becoming more popular and relevant among experts due to their multiple functionalities that facilitate decision-making. An integration of DSTs in a DSS and further development of DSIs provides a path for the integration of quantitative and qualitative parameters into the decision-making process, and providing materials to be used in consultation processes. An integrated DSS is more likely to produce high-quality results for decision-makers, handle the uncertainty of analysis, and extend the long-term applicability of tools employed by coastal managers.

世界各地的海岸都面临着与极端水位、洪水和海岸侵蚀有关的巨大挑战。应对这些挑战时需要考虑到基础设施的需求，例如港口和其他社会经济发展，尤其是沿海旅游业。为沿海脆弱性和复原力评估选择最佳决策支持工具 (DST) 是决策者和沿海规划者面临的主要挑战。通过使用有效的 DST，可以提高沿海决策的稳健性和灵活性，特别是在沿海灾害管理方面。本研究概述了作为 DST 组合的决策支持系统 (DSS) 的构建和使用，例如常用的多标准决策分析 (MCDA) 方法和人工神经网络 (ANN)，与地理信息系统（GIS）相结合。许多研究人员的经验是，基于模糊逻辑、层次分析法 (AHP) 和加权线性组合 (WLC) 的 MCDA 技术与 GIS 相结合，并且可能还结合了 ANN，为决策者提供了一种综合工具计算决策支持指数 (DSI)。混合工具由于具有促进决策的多种功能，因此在专家中变得越来越流行和相关。DST 在 DSS 中的整合和 DSI 的进一步发展为将定量和定性参数整合到决策过程中提供了途径，并提供了在咨询过程中使用的材料。集成的 DSS 更有可能为决策者产生高质量的结果，