Participatory development and analysis of a fuzzy cognitive map of the establishment of a bio-based economy in the Humber region.
Participatory development and analysis of a fuzzy cognitive map of the establishment of a bio-based economy in the Humber region.
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DOI：
10.1371/journal.pone.0078319
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Basson L
中科院分区：
文献类型：
--
作者：
Penn AS;Knight CJ;Lloyd DJ;Avitabile D;Kok K;Schiller F;Woodward A;Druckman A;Basson L
模糊认知图（FCM）是一种广泛使用的参与式建模方法，其中利益相关者协作开发“认知图”（加权有向图），代表其系统的感知因果结构。研讨会主持人可以将其直接转化为简单的数学模型，供参与者在会议结束时询问。这种简单的模型提供了思维工具，可用于讨论和探索复杂问题，以及对所建议的因果联系的含义进行意义检查。它们增加了利益相关者的动机和对整个系统方法的理解，但不能脱离主体间的参与环境。标准 FCM 方法做出了简化的假设，这可能会强烈影响结果，带来特殊的挑战和机遇。我们报告了一个涉及当地公司和组织的参与过程，重点关注亨伯地区生物经济的发展。生成的初始认知图包括被认为对区域生物经济发展至关重要的因素及其方向性、加权性和因果关系。第二次会议进行了验证和场景生成程序，以检查地图的结构并提出修改建议。参与者同意对原始地图进行更新，并描述了两种替代的潜在因果结构。在一项新颖的分析中，所有图谱结构都使用两种通常独立使用的标准方法进行了测试：线性和 S 形 FCM，展示了一些显着不同的结果以及一些广泛的相似之处。我们建议开发 FCM 方法，涉及不同映射的敏感性分析，并在我们的案例研究中讨论该技术的使用。利用我们流程的结果和分析，我们讨论了 FCM 方法在这种情况下以及一般情况下的局限性和优点。最后，我们提出了一种扩展的 FCM 方法，包括一个参与者构建的图中的多个功能映射。
Fuzzy Cognitive Mapping (FCM) is a widely used participatory modelling methodology in which stakeholders collaboratively develop a ‘cognitive map’ (a weighted, directed graph), representing the perceived causal structure of their system. This can be directly transformed by a workshop facilitator into simple mathematical models to be interrogated by participants by the end of the session. Such simple models provide thinking tools which can be used for discussion and exploration of complex issues, as well as sense checking the implications of suggested causal links. They increase stakeholder motivation and understanding of whole systems approaches, but cannot be separated from an intersubjective participatory context. Standard FCM methodologies make simplifying assumptions, which may strongly influence results, presenting particular challenges and opportunities. We report on a participatory process, involving local companies and organisations, focussing on the development of a bio-based economy in the Humber region. The initial cognitive map generated consisted of factors considered key for the development of the regional bio-based economy and their directional, weighted, causal interconnections. A verification and scenario generation procedure, to check the structure of the map and suggest modifications, was carried out with a second session. Participants agreed on updates to the original map and described two alternate potential causal structures. In a novel analysis all map structures were tested using two standard methodologies usually used independently: linear and sigmoidal FCMs, demonstrating some significantly different results alongside some broad similarities. We suggest a development of FCM methodology involving a sensitivity analysis with different mappings and discuss the use of this technique in the context of our case study. Using the results and analysis of our process, we discuss the limitations and benefits of the FCM methodology in this case and in general. We conclude by proposing an extended FCM methodology, including multiple functional mappings within one participant-constructed graph.
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影响因子：
4.9
作者：
Castelletti, A.;Soncini-Sessa, R.
通讯作者：
Soncini-Sessa, R.
DOI：
10.1016/j.gloenvcha.2008.08.003
发表时间：
2009-02-01
影响因子：
8.9
作者：
Kok, Kasper
通讯作者：
Kok, Kasper
影响因子：
--
作者：
Banini, GA;Bearman, RA
通讯作者：
Bearman, RA
影响因子：
4
作者：
Mendoza, Guillenno A.;Prabhu, Ravi
通讯作者：
Prabhu, Ravi
影响因子：
7
作者：
Mouratiadou, Ioanna;Moran, Dominic
通讯作者：
Moran, Dominic