fuzzy cognitive mapping

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Presentation on using Fuzzy Cognitive Mapping in social-ecological research. Fuzzy Cognitive Mapping is a procedure to involve stakeholders in research or management processes and a method to extract and analyze different kinds of knowledge about complex systems and their functioning.

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Page 1: Fuzzy cognitive mapping
Page 2: Fuzzy cognitive mapping

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

Page 3: Fuzzy cognitive mapping

What are Social Ecological Systems?

Complex

Adaptive

Page 4: Fuzzy cognitive mapping

We are part of them…and that's what makes them

especially messy

Page 5: Fuzzy cognitive mapping

How to model Social Ecological Systems?

Page 6: Fuzzy cognitive mapping

And what can FCM contribute ?

(By the way, this guy is a member of FCMappers)

How to model Social Ecological Systems?

Page 7: Fuzzy cognitive mapping
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Page 13: Fuzzy cognitive mapping

Fuzzy Cognitive MappingHow does it work?

Page 14: Fuzzy cognitive mapping

The case studies

Page 15: Fuzzy cognitive mapping

Structure of maps

Page 16: Fuzzy cognitive mapping

Structured data collection

Page 17: Fuzzy cognitive mapping

Compare different knowledge systems

Page 18: Fuzzy cognitive mapping

Social Learning & Education

Page 19: Fuzzy cognitive mapping

Stakeholder involvment

Page 20: Fuzzy cognitive mapping

Simulation

Page 21: Fuzzy cognitive mapping

FCM Simulation in a nutshell

ji

N

jij

kj

ki

ki wAAA

1

)()()1(

= value of concept Ci at iteration step k+1

= value of concept Ci at iteration step k

= value of concept Cj at iteration step k

= weight of the link between Ci and Cj

)1( kiA

)(kiA

)(kjA

jiw

Page 22: Fuzzy cognitive mapping

Three Scenarios

TREND

GLOB

LOC

+ Base Run

Page 23: Fuzzy cognitive mapping

Trend

Page 24: Fuzzy cognitive mapping

Glob

Page 25: Fuzzy cognitive mapping

Loc

Page 26: Fuzzy cognitive mapping

Base Run

Pos it iv e

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Page 27: Fuzzy cognitive mapping

Trend

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Page 28: Fuzzy cognitive mapping

Glob

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Page 29: Fuzzy cognitive mapping

Loc

Pos it iv e

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ality

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Page 30: Fuzzy cognitive mapping

Comparison with ABM

~80% overlap in trends for three scenarios

Predicted trend in Farmers income is seen in 2008 Statistical Data

Page 31: Fuzzy cognitive mapping

Pros - Cons

• (- )No time, no quantitative results

• (+) more process oriented• (+) participative• (+) faster

Page 32: Fuzzy cognitive mapping

Thank You!

More information & Software at:www.FCMappers.net and yes – this site is a hobby…