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Supporting environmental planning: Knowledge management through fuzzy cognitive mapping

Borri, Dino; Camarda, Domenico; Pluchinotta, Irene; Esposito, Dario (2015), Supporting environmental planning: Knowledge management through fuzzy cognitive mapping, in Luo, Yuhua, Cooperative Design, Visualization, and Engineering, 12th International Conference, CDVE 2015, Proceedings, Springer : Cham, p. 228-235. 10.1007/978-3-319-24132-6_29

Type
Communication / Conférence
Date
2015
Conference title
Cooperative Design, Visualization, and Engineering: 12th International Conference, CDVE 2015
Conference date
2015-09
Conference city
Mallorca
Conference country
Spain
Book title
Cooperative Design, Visualization, and Engineering, 12th International Conference, CDVE 2015, Proceedings
Book author
Luo, Yuhua
Publisher
Springer
Published in
Cham
ISBN
978-3-319-24131-9
Number of pages
280
Pages
228-235
Publication identifier
10.1007/978-3-319-24132-6_29
Metadata
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Author(s)
Borri, Dino
Technical University of Bari
Camarda, Domenico
Technical University of Bari
Pluchinotta, Irene
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Esposito, Dario
Technical University of Bari
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.
Subjects / Keywords
Fuzzy cognitive mapping; Environmental planning; Decision support system; Multiple agents

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