2009
DOI: 10.1016/j.gloenvcha.2008.08.003
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The potential of Fuzzy Cognitive Maps for semi-quantitative scenario development, with an example from Brazil

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Cited by 310 publications
(302 citation statements)
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“…According to Kok (2009), Mazlack (2009, Carlucci et al (2013) and Ferreira and Jalali (2015), there is a state vector n × 1, which includes the value of n concepts; and a n × n weight matrix W (also known as adjacent matrix), that gets together all the weights W ij and the relationships between the n criteria. Accordingly, the value of each concept is influenced by the values of its interconnected concepts and by its own previous value.…”
Section: Fuzzy Cognitive Mapsmentioning
confidence: 99%
“…According to Kok (2009), Mazlack (2009, Carlucci et al (2013) and Ferreira and Jalali (2015), there is a state vector n × 1, which includes the value of n concepts; and a n × n weight matrix W (also known as adjacent matrix), that gets together all the weights W ij and the relationships between the n criteria. Accordingly, the value of each concept is influenced by the values of its interconnected concepts and by its own previous value.…”
Section: Fuzzy Cognitive Mapsmentioning
confidence: 99%
“…FCM scenario simulation analysis focuses on the effect that each concept has on the other concepts in the network over a number of iterations or time steps (k) (normally 20−30 iterations) [45]. "Scenario generation has been recognized as one of the most valuable applications of FCM in general and in environmental management in particular" [45,46] cited in [32] (p. 158).…”
Section: Methodsmentioning
confidence: 99%
“…"Scenario generation has been recognized as one of the most valuable applications of FCM in general and in environmental management in particular" [45,46] cited in [32] (p. 158). To test the developed tools, three different scenarios are simulated and tested for each income groups:…”
Section: Methodsmentioning
confidence: 99%
“…Other tools for capturing stakeholder perspectives on systems, such as fuzzy cognitive maps (Kok, 2009;van Vliet et al, 2010) and other participatory modeling tools (Voinov & Bousquet, 2010), do allow for a systems description that includes semiquantification of relationships and feedbacks among system elements. These models, in turn, have no specific focus on system levels and scales.…”
Section: Potential Improvementsmentioning
confidence: 99%