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Switching to numerical scale in marine environmental decision support systems: Fuzzy logic approach

机译：海洋环境决策支持系统中的数值尺度转换：模糊逻辑方法

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摘要

Environmental decision support systems (EDSS) are usually based on environmental models, databases and assessment tools. However, EDSS requires lots of reliable data, which are not readily available, especially information on the distribution of species in marine environments and their dependencies on natural or human pressures. In these cases information is distributed among nominal categories (ranks) which are later used for the decision support. Rules used for assignment into the ranks usually are rough; some of them could be overlapping. But during the decision process the exact rank values are used ignoring the fact that they are derived from the incomplete knowledge. That complicates the comparison of results provided by different cases. In this study a fuzzy logic approach for merging rank and quantitative data with respect to initial accuracy is presented using the example of sensitivity assessment methodology provided by Marine Life Information Network. The proposed approach combines expert knowledge and fuzzy logic methods and provides a possibility to use numerical scales in marine environmental decision support systems, and is a flexible tool for explicit (numerically expressed) sensitivity assessment This approach can be also applied to other environmental indicators and assessments.
机译：环境决策支持系统（EDSS）通常基于环境模型、数据库和评估工具。然而，EDSS需要大量可靠的数据，而这些数据并不容易获得，特别是关于物种在海洋环境中的分布及其对自然或人类压力的依赖性的信息。在这些情况下，信息分布在名义类别（等级）之间，这些类别（等级）稍后用于决策支持。用于分配到军衔的规则通常是粗略的;其中一些可能是重叠的。但是在决策过程中，使用了确切的排名值，而忽略了它们来自不完全知识的事实。这使得不同案例提供的结果比较变得复杂。本研究以海洋生物信息网提供的敏感性评估方法为例，提出了一种模糊逻辑方法，用于合并与初始精度相关的等级和定量数据。所提出的方法结合了专业知识和模糊逻辑方法，为在海洋环境决策支持系统中使用数值尺度提供了可能性，并且是明确（数值表示）敏感性评估的灵活工具。

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  • 来源
    《Ocean & coastal management》 |2014年第11期|35-41|共7页
  • 作者

    Dalia Baziuke; Natalija Juscenko; Andrius Siaulys;

  • 作者单位

    Department of Computer Science, Faculty of Science and Mathematics, Klaipeda University, Lithuania;

    Coastal Research and Planning Institute, Klaipeda University, Lithuania;

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  • 正文语种 英语
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