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Scoping review of the potentials of fuzzy cognitive maps as a modeling approach for integrated environmental assessment and management
Environmental Modelling & Software ( IF 4.8 ) Pub Date : 2020-10-07 , DOI: 10.1016/j.envsoft.2020.104891
Asmaa Mourhir

Fuzzy Cognitive Maps were missing in the latest guidance by Kelly et al. (2013), which reviewed five common integrated modeling approaches. Through a scoping review, the paper shows how Fuzzy Cognitive Maps satisfy key criteria for suitability in integrated environmental assessment, such as model purpose, types of data available to build a model, requirements in terms of spatial and temporal scales, stakeholder involvement, and treatment of uncertainty. The paper consequently updates the guiding framework that can be used by modelers to select the most appropriate modeling approach by including Fuzzy Cognitive Map techniques. We argue that the method can be the starting point of any integrated environmental assessment research to map out perspectives and potential system sensitivities. They constitute a great addition to the integrated assessment modeling toolbox as they can complement quantitative model approaches that are invariably constructed around a single perspective that relates to available data.



中文翻译:

对模糊认知图的潜力进行范围审查,以作为综合环境评估和管理的建模方法

Kelly等人的最新指南中缺少模糊认知图。(2013),其中回顾了五种常见的集成建模方法。通过范围审查,本文显示了模糊认知图如何满足综合环境评估中适用性的关键标准,例如模型目的,可用于构建模型的数据类型,时空尺度,利益相关者的参与和处理方面的要求不确定性。因此,本文通过包含模糊认知图技术,更新了建模者可以用来选择最合适的建模方法的指导框架。我们认为,该方法可以作为任何综合环境评估研究的起点,以绘制出观点和潜在的系统敏感性。

更新日期:2020-10-30
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