Article ID Journal Published Year Pages File Type
496240 Applied Soft Computing 2012 11 Pages PDF
Abstract

In spite of considerable progress in our understanding of ecosystem functioning, our ability to design effective and enforceable environmental policies requires a deep understanding of human perceptions and beliefs. In this respect, what is called today stakeholder analysis is an eclectic mixture of qualitative and semi-quantitative techniques aiming at eliciting, understanding and de-codifying how individuals perceive risks and threats towards sustainability. Fuzzy Cognitive Mapping (FCM) is gradually emerging as an alternative methodology capable of assisting researchers in the domain of environmental policy. We explored the promise that FCM holds to support environmental policy makers. We suggest FCM approach as a new participatory method in environmental policy: through aiding in Multi-stakeholder (actor) analysis for risk assessment, capturing values and scenarios construction. To show how this is feasible we try to answer three basic questions: How cognitive mapping can support decision-making? How FCM can support environmental decision-making? How simulation of concepts may help in communicating stakeholders’ views to environmental decision makers? Then we explore the potential application of FCM in environmental policy, especially in environmental economics, trying to substantiate economic values for nature providing ‘flesh and bones’ to the concept of economic preferences.

Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlights► A proposal for introducing FCM in non-market valuation. ► We try to answer three questions on how FCM informs stakeholder analysis and non-market valuation. ► How cognitive mapping can support decision-making? ► How FCM can support environmental decision-making? ► How simulation of concepts may help in communicating stakeholders’ views to environmental decision makers?

Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
, , ,