| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6964639 | Environmental Modelling & Software | 2013 | 13 Pages |
Abstract
⺠We demonstrate an approach of computational policy simulations for mitigating natural hazards. ⺠Advancements of FCM is shown through use of Self-organising Maps for condensation and aggregation. ⺠What-if scenario simulations are run using Auto-Associative Neural Networks (AANN). ⺠Analyse the relationships among stakeholder groups to show how they shape collective responses. ⺠Highlight the potential of the approach for participatory policy development.
Keywords
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Physical Sciences and Engineering
Computer Science
Software
Authors
Sandhya Samarasinghe, Graham Strickert,