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首页> 外文期刊>Ocean & coastal management >Decision support tools, systems and indices for sustainable coastal planning and management: A review
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Decision support tools, systems and indices for sustainable coastal planning and management: A review

机译：可持续沿海规划和管理的决策支持工具，系统和指标：审查

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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.
机译：世界各地的海岸面临着与极端水平，淹没和沿海侵蚀有关的巨大挑战。考虑到港口和其他社会经济发展的基础设施需要，需要解决这些挑战，特别是沿海旅游。为沿海漏洞和恢复力评估选择最佳决策支持工具（DSTS）是决策者和沿海规划者的重大挑战。通过使用有效的DST，可以改善沿海决策的稳健性和灵活性，特别是对于沿海危险的管理。本研究概述了决策支持系统（DSSS）作为DST的组合的施工和使用，例如常用的多标准决策分析（MCDA）方法和人工神经网络（ANN），与地理信息集成系统（GIS）。许多研究人员的经验是，基于模糊逻辑，分析层次结构（AHP）和加权线性组合（WLC）的MCDA技术的组合，其中包含GIS，也可能还包括ANN，为决策者提供了有效的综合工具计算决策支持指数（DSIS）。混合动力工具在专家中变得越来越受欢迎，并且由于他们的多种功能，促进了决策。 DSTS在DSS中的整合和DSI的进一步发展提供了一条路径，用于将定量和定性参数集成到决策过程中，并提供用于咨询过程中的材料。集成的DSS更有可能为决策者提供高质量的结果，处理分析的不确定性，并扩大了沿海经理所雇用的工具的长期适用性。

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