The potential of Fuzzy Cognitive Maps for semi-quantitative scenario development, with an example from Brazil
By Kasper Kok. 2009
371 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management, Monitoring, Policy and Law, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/b09ea667b3e0a33b123ac9c38a659272a553bbbd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Elpiniki I. Papageorgiou
- Jose L. Salmeron
- Marc R Gramberger
- I. Holman
- Martina Flörke
- Jan Sendzimir
- Ilona Bärlund
- Benjamin Stuch
In Management, Monitoring, Policy and Law
- Elpiniki I. Papageorgiou
- Jose L. Salmeron
- I. Holman
- Marc R Gramberger
- Martina Flörke
- Jan Sendzimir
- Ilona Bärlund
- Benjamin Stuch
In Management Science and Operations Research
- Elpiniki I. Papageorgiou
- Jose L. Salmeron
- Marc R Gramberger
- I. Holman
- Martina Flörke
- Jan Sendzimir
- Ilona Bärlund
- Benjamin Stuch
Citations in the corpus
- Learning Algorithms for Fuzzy Cognitive Maps—A Review Study (2012, background): “Example studies involve: modeling [6]–[8], knowledge representation and management [9]–[11], political and social fields [12]–[14], engineering and technology management [15]–[17], agriculture and ecological modeling and management [18]–[23], prediction [24]–[26], as well as medical decision support”
- European participatory scenario development: strengthening the link between stories and models (2015, methodology): “Recently, the conceptual and practical issues involved in linking qualitative stories and quantitative models have been elaborated (Kok 2009; Kok and Van Delden 2013).”
- A Review of Fuzzy Cognitive Maps Research During the Last Decade (2013, background): “FCMs were applied in ecology and environmental management to model a generic shallow lake ecosystem by augmenting the individual cognitive maps [72], assess local knowledge use in agroforestry management [73], model the interactions among sustainability components of an agro-ecosystem using local kn”