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Supporting environmental planning: Knowledge management through fuzzy cognitive mapping

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Date
2015
Notes
Lecture Notes in Computer Science, Vol. 9320
Dewey
Recherche opérationnelle
Sujet
Fuzzy cognitive mapping; Environmental planning; Decision support system; Multiple agents
DOI
http://dx.doi.org/10.1007/978-3-319-24132-6_29
Conference name
Cooperative Design, Visualization, and Engineering: 12th International Conference, CDVE 2015
Conference date
09-2015
Conference city
Mallorca
Conference country
Spain
Book title
Cooperative Design, Visualization, and Engineering, 12th International Conference, CDVE 2015, Proceedings
Author
Luo, Yuhua
Publisher
Springer
Publisher city
Cham
Year
11-2015
Pages number
280
ISBN
978-3-319-24131-9
Book URL
10.1007/978-3-319-24132-6
URI
https://basepub.dauphine.fr/handle/123456789/16279
Collections
  • LAMSADE : Publications
Metadata
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Author
Borri, Dino
195696 Technical University of Bari
Camarda, Domenico
195696 Technical University of Bari
Pluchinotta, Irene
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Esposito, Dario
195696 Technical University of Bari
Type
Communication / Conférence
Item number of pages
228-235
Abstract (EN)
The inherently complex nature of the environmental domain requires that planning efforts become projects of participated, inclusive, multi-agent, multi-source knowledge building processes developed by the community. Knowledge is often hard to be processed, handled, formalized, modeled. Yet cognitive models are useful to avoid the typical unmanageability of domains with high complexity such as the environmental one, and enhance knowledge organization and management. We have investigated on the potentials of cognitive-mapping-based tools, particularly on cross impact evaluations, in the case study of Taranto (Italy). The process was aimed at building up future development scenarios in city neighborhoods, and fuzzy cognitive mapping were used to support decision-making by exploring cross impacts of possible policy perspectives. Although substantial results are rather general, the study proves to be interesting in enhancing the potentials of FCM-based approach to support decisionmaking, particularly when dealing with well-focused policy perspectives.

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