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首页> 外文会议>Annual Hawaii International Conference on System Sciences >Mental Modeler: A Fuzzy-Logic Cognitive Mapping Modeling Tool for Adaptive Environmental Management
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Mental Modeler: A Fuzzy-Logic Cognitive Mapping Modeling Tool for Adaptive Environmental Management

机译：心理建模器：自适应环境管理的模糊逻辑认知映射建模工具

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Participatory modeling has grown in popularity in recent years with the acknowledgement that stakeholder knowledge is an essential component to informed environmental decision-making. Including stakeholders in model building and analysis allows decision-makers to understand important conceptual components in the environmental systems being managed, builds trust and common understanding between potentially diverse sets of competing groups, and reduces uncertainty by mining information that might not otherwise be a part of scientific assessment performed by experts alone. Software that facilitates the integration and analysis of stakeholder knowledge in modeling, however, is currently lacking. In this paper we report on the design and anticipated use of a participatory modeling tool based in fuzzy-logic cognitive mapping (FCM) called âMental Modelerâ which makes the mental models of stakeholders explicit and provides an opportunity to incorporate different types of knowledge into environmental decision-making, define hypotheses to be tested, and run scenarios to determine perceived outcomes of proposed policies.
机译：近年来，参与式建模已变得越来越流行，这是因为认识到利益相关者的知识是明智的环境决策的重要组成部分。将利益相关者包括在模型构建和分析中，可使决策者了解所管理环境系统中的重要概念组成部分，在潜在的不同竞争群体之间建立信任和共识，并通过挖掘可能不属于其中的信息来减少不确定性。仅由专家进行的科学评估。但是，目前缺乏在建模中促进利益相关者知识的集成和分析的软件。在本文中，我们报告了基于模糊逻辑认知映射（FCM）的参与式建模工具“ Mental Modeler”的设计和预期使用，该工具使利益相关者的心理模型变得清晰，并提供了将不同类型的知识纳入环境决策的机会制定，定义要测试的假设并运行方案以确定拟议政策的预期结果。

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