Towards data-driven environmental planning and policy design-leveraging fuzzy logic to operationalize a planning framework
Towards data-driven environmental planning and policy design-leveraging fuzzy logic to operationalize a planning framework
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迈向数据驱动的环境规划和政策设计——利用模糊逻辑来实施规划框架
DOI：
10.1109/fuzz-ieee.2014.6891783
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
K. Wallace
中科院分区：
文献类型：
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作者：
Amir Pourabdollah;Christian Wagner;Simon Miller;Michael Smith;K. Wallace
环境规划是复杂的，需要仔细考虑大量因素，包括定量因素（例如，水平衡）和定性（例如，不同利益相关者的投入）。为了更好地整合这些因素，环境保护界设计了价值驱动的框架。这些框架目前主要由保护和政策专家手工使用，以便为政策设计提供信息。在本文中，我们提出了一个模糊逻辑为基础的系统，它已被开发为操作现有的手动框架，同时保留基本的质量，包括捕获的不确定性的数据源和一致的解释性的基本自动推理机制。我们提供了一个详细的描述，可以应用在一系列自然资源管理案例中的政策设计和规划任务的操作化，然后是一组具体的，实际的输出在西澳大利亚州的一个研究用例。最后，我们强调剩余的限制和未来的工作。
Environmental planning is complex, and requires careful consideration of a large number of factors, including quantitative ones (e.g., water balance) and qualitative ones (e.g., heterogeneous stakeholder input). To better integrate these factors, value-driven frameworks have been designed in the environmental conservation community. These frameworks are currently largely utilized manually by conservation and policy experts in order to inform policy design. In this paper, we present a fuzzy logic based system, which has been developed to operationalize the existing manual framework while preserving essential qualities, including the capture of uncertainty in the data sources and a consistent interpretability of the underlying automatic reasoning mechanisms. We provide a detailed description of the current implementation which can be applied in the operationalization of policy design and planning tasks in a range of natural resources management cases, followed by a set of concrete, practical outputs for a studied use case in Western Australia. Finally, we highlight remaining limitations and future work.