Fuzzy cognitive mapping
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The document discusses a tool for social-ecological research and environmental management, utilizing fuzzy cognitive mapping (FCM) to model complex adaptive systems through six European case studies. It emphasizes the importance of stakeholder involvement, social learning, and compares different knowledge systems in assessing ecological impacts. Additionally, the document presents simulation scenarios and highlights the benefits and drawbacks of the methodology used.
Fuzzy cognitive mapping
- 2. A tool for social-ecological research and environmental management Experiences from six European Case Studies Martin Wildenberg, Michael Bachhofer Mihai Adamescu, Geert De Blust, Ricardo Diaz-Delgadod, Kirsten G.Q. Isak, Flemming Skov and Riku Varjopuro
- 3. What are Social Ecological Systems? Complex Adaptive
- 4. We are part of them… and that's what makes them especially messy
- 5. How to model Social Ecological Systems?
- 6. How to model Social Ecological Systems? And what can FCM contribute ? (By the way, this guy is a member of FCMappers)
- 13. Fuzzy Cognitive Mapping How does it work?
- 14. The case studies
- 17. Compare different knowledge systems
- 18. Social Learning & Education
- 20. Simulation
- 21. FCM Simulation in a nutshell ( N A i ( k +1) = A i (k ) + ∑ A w ji (k ) j ) j ≠i j =1 Ai( k +1) = value of concept Ci at iteration step k+1 = value of concept Ci at iteration step k Ai(k ) A(k ) = value of concept Cj at iteration step k j w ji = weight of the link between Ci and Cj
- 23. Trend
- 24. Glob
- 25. Loc
- 26. P ro te c te d N a tu ra l P ro p e rty N a tu ra l L a n d s c a p e F o re s t a t io n N o . o f F a rm s A g ric u lt u ra l In c o m e P o p u la t io n Q u a lity o f L iv e T o u ris m C o m p a n ie s W o rk p la c e s Base Run In d u s t ry N e g a t iv e P o s itiv e
- 27. P ro te c te d N a tu ra l P ro p e rty N a tu ra l L a n d s c a p e F o re s ta tio n N o . o f F a rm s A g ric u lt u ra l In c o m e P o p u la tio n Q u a lity o f L iv e T o u ris m C o m p a n ie s W o rk p la c e s Trend In d u s t ry N e g a tiv e P o s itiv e
- 28. P ro te c te d N a tu ra l P ro p e rty N a tu ra l L a n d s c a p e F o re s t a tio n N o . o f F a rm s A g ric u lt u ra l In c o m e P o p u la t io n Q u a lit y o f L iv e T o u ris m C o m p a n ie s W o rk p la c e s In d u s t ry N e g a tiv e P o s itiv e Glob
- 29. P ro te c te d N a tu ra l P ro p e rty N a tu ra l L a n d s c a p e F o re s t a t io n N o . o f F a rm s A g ric u ltu ra l In c o m e P o p u la tio n Q u a lit y o f L iv e T o u ris m C o m p a n ie s W o rk p la c e s In d u s t ry N e g a tiv e P o s it iv e Loc
- 30. Comparison with ABM ~80% overlap in trends for three scenarios Predicted trend in Farmers income is seen in 2008 Statistical Data
- 31. Pros - Cons • (- )No time, no quantitative results • (+) more process oriented • (+) participative • (+) faster
- 32. Thank You! More information & Software at: www.FCMappers.net and yes – this site is a hobby…