Linking thoughts to flows - Fuzzy cognitive mapping as tool for integrated landscape modeling

This paper presents the results of six European case studies conducted in the frame of ALTER-Net, which all employed fuzzy cognitive mapping in the context of analyzing driving forces and impact of regional environmental change. Fuzzy cognitive mapping (FCM) is a soft systems methodology for analyzing and depicting human perceptions of a given system. It is a procedure to involve stakeholders in a research or management processes and a method to extract and analyze different kinds of knowledge about complex systems and their functioning. It describes the system by showing the central factors and their causal relations, represented by weighted arrows, as a directed graph.

[1]  Bart Kosko,et al.  Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..

[2]  Edward M. Reingold,et al.  Graph drawing by force‐directed placement , 1991, Softw. Pract. Exp..

[3]  S. Kvale,et al.  InterViews: Learning the Craft of Qualitative Research Interviewing , 1996 .

[4]  S. Levin Ecosystems and the Biosphere as Complex Adaptive Systems , 1998, Ecosystems.

[5]  Michael Doyle,et al.  Facilitator's Guide to Participatory Decision-Making , 1998 .

[6]  Benjamin F. Hobbs,et al.  FUZZY COGNITIVE MAPPING AS A TOOL TO DEFINE MANAGEMENT OBJECTIVES FOR COMPLEX ECOSYSTEMS , 2002 .

[7]  Uygar Özesmi,et al.  Ecological models based on people’s knowledge: a multi-step fuzzy cognitive mapping approach , 2004 .

[8]  Guillermo A. Mendoza,et al.  Participatory modeling and analysis for sustainable forest management: Overview of soft system dynamics models and applications ☆ , 2006 .

[9]  Voula C. Georgopoulos,et al.  Fuzzy cognitive map architectures for medical decision support systems , 2008, Appl. Soft Comput..

[10]  Peter Fleissner,et al.  Combining agent-based and stock-flow modelling approaches in a participative analysis of the integrated land system in Reichraming, Austria , 2009, Landscape Ecology.

[11]  Kasper Kok,et al.  The potential of Fuzzy Cognitive Maps for semi-quantitative scenario development, with an example from Brazil , 2009 .

[12]  Helmut Haberl,et al.  Towards an integrated model of socioeconomic biodiversity drivers, pressures and impacts. A feasibility study based on three European long-term socio-ecological research platforms , 2009 .