The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
The potential of Fuzzy Cognitive Maps for semi-quantitative scenario development, with an example from Brazil
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Cites
Resilience and Stability of Ecological Systems
Holling, C. S. (1973) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.es.04.110173.000245 · Cited by 18,995
Causality: Models, Reasoning, and Inference
Pearl, J. (2009) · doi:10.1017/cbo9780511803161 · Cited by 11,653
Resilience, Adaptability and Transformability in Social–ecological Systems
Walker, B., Holling, C. S., Carpenter, S. R., & Kinzig, A. P. (2004) · Ecology and Society · doi:10.5751/es-00650-090205 · Cited by 7,821
RESILIENCE: THE EMERGENCE OF A PERSPECTIVE FOR SOCIAL-ECOLOGICAL SYSTEMS ANALYSES
Folke, C. (2006) · Global Environmental Change · doi:10.1016/j.gloenvcha.2006.04.002 · Cited by 7,749
CAUSALITY: MODELS, REASONING AND INFERENCE
Hitchcock, C. (2001) · The Philosophical Review · doi:10.1215/00318108-110-4-639 · Cited by 4,741
(2002) · Cited by 3,806
Kosko, B. (1986) · International Journal of Man-Machine Studies · doi:10.1016/s0020-7373(86)80040-2 · Cited by 3,576
Causality: models, reasoning, and inference
(2000) · Choice Reviews Online · doi:10.5860/choice.38-1494a · Cited by 2,873
Scenario Planning: a Tool for Conservation in an Uncertain World
Peterson, G. D., Cumming, G. S., & Carpenter, S. R. (2003) · Conservation Biology · doi:10.1046/j.1523-1739.2003.01491.x · Cited by 1,384
Sterman, J. D. (2000) · Cited by 1,322
Cited by
The 2017 IEEE International Conference on Fuzzy Systems
(2016) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2016.2545826 · Cited by 308
Big data-driven fuzzy cognitive map for prioritising IT service procurement in the public sector
Choi, Y., Lee, H., & Irani, Z. (2018) · Annals of Operations Research · doi:10.1007/s10479-016-2281-6 · Cited by 76
Application of Fuzzy Cognitive Mapping in Livelihood Vulnerability Analysis
Murungweni, C., van Wijk, M. T., Andersson, J. A., Smaling, E. M. A., & Giller, K. E. (2011) · Ecology and Society · doi:10.5751/es-04393-160408 · Cited by 73
Carmona, G., Varela-Ortega, C., & Bromley, J. (2013) · Journal of Environmental Management · doi:10.1016/j.jenvman.2013.05.019 · Cited by 72
Olazabal, M., Neumann, M. B., Foudi, S., & Chiabai, A. (2018) · Systems Research and Behavioral Science · doi:10.1002/sres.2519 · Cited by 56
Metadata
- Authors
- Kok, K.
- Venue
- Global Environmental Change
- Publisher
- Elsevier BV
- Published
- 2009-02
- Volume
- 19
- Issue
- 1
- Pages
- 122-133
- ISSN
- 0959-3780 (ISSN-L)
- OpenAlex
- W2050847486
- Cited by
- 375
- References
- 43
- FWCI
- 11.66
- Type
- journal article
- Language
- en
- Open access
- green
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- Kok, K. (2009). The potential of Fuzzy Cognitive Maps for semi-quantitative scenario development, with an example from Brazil. Global Environmental Change. https://doi.org/10.1016/j.gloenvcha.2008.08.003
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
